Free Animated Loaders – Download Customizable UI Loaders.

Most redesigns take 2–3 months depending on the number of pages, complexity, and integration needs. Larger platforms may require longer timelines.

Marketing sites and CMS builds typically take 6 to 10 weeks. Complex web applications with custom backends and integrations take 3 to 6 months. Timeline is confirmed after scoping.

Case management platforms, client portals, document tools, and scheduling apps.

We have experience integrating with Salesforce Nonprofit, Bloomerang, Raiser’s Edge, Stripe, Chariot (DAF giving), and a range of email and CRM platforms. We assess fit for your organization specifically before recommending a technology direction.

Most iOS applications take 3–4 months for an MVP and 6–9 months for more complex features, integrations, or enterprise-grade infrastructure.

Yes. We start with a technical and product assessment to understand what is broken, what is salvageable, and what the fastest path to a performing product looks like. You get an honest assessment before committing to a direction — including whether a rebuild makes more sense than a repair.

Native is usually the right choice when your app depends on deep hardware integration, needs maximum performance for real-time or graphics-intensive features, or when the platform-specific experience is a competitive differentiator. Cross-platform is often the better choice when you need both iOS and Android quickly and your performance requirements are moderate. If you describe your product to us, we’ll tell you honestly which approach makes more sense.

Goji Labs is strategy-led, not feature-led. We bring product strategy, UX, engineering, and AI under one team, so the roadmap, the experience, and the architecture are coordinated from day one. Clients choose Goji when they want a partner who pushes back on the brief when the brief is wrong.

Yes. We build healthcare products with HIPAA-compliant architecture from the ground up — including appropriate data encryption, access controls, audit logging, and BAA documentation. We don’t retrofit compliance.

The most common failure mode we see is agencies that take requirements and build to spec without ever questioning whether the spec is right. We challenge assumptions in discovery, flag risks before they become problems, maintain a live backlog you can audit at any time, and run weekly working demos so there are no surprises at delivery. If you want to pressure-test that, ask us what happens when scope changes mid-sprint — that is where most agency relationships break down.

Activation is the moment a new user first experiences the core value of your product — not just completing registration. For a project management tool, it might be creating a first project with a collaborator. For a fitness app, it might be completing a first workout. Sign-up is a prerequisite; activation is the outcome that predicts whether someone will stay.

Engagements range from short 2–3 week reviews to ongoing advisory partnerships, depending on scope.

Most testing cycles run 2–3 weeks, depending on scope, number of participants, and depth of reporting required.

Earlier than most teams do. The most expensive design problems are the ones discovered after engineering has already built around them. Bringing design in at the requirements stage — before wireframes, before development — is what prevents the rework that pushes timelines out and budgets over.

Goji Labs is a strategy-led digital product agency based in Los Angeles. We design and build AI-powered products, custom software, mobile and web applications, and the UX behind them for enterprise teams, private equity-backed portfolio companies, and startups. Our four service pillars are AI Product Development, App & Software Development, UI/UX Design, and Product Strategy Consulting.

Citizen portals, SaaS platforms for internal use, public-facing apps, and data management systems.

Yes. We support native development for iOS (Swift/SwiftUI) and Android (Kotlin), as well as cross-platform frameworks when appropriate. The choice depends on your users, roadmap, and long-term technical needs.

Most audits are completed in 3–4 weeks, depending on the size and complexity of the product.

Depending on scope, research projects can range from 2–6 weeks, with actionable insights delivered throughout the process.

Absolutely. We regularly work alongside internal developers, CTOs, and product managers. Our development approach is flexible and designed to complement existing technical teams.

Timelines vary by scope—small interfaces may take 4–6 weeks, while full product design can range from 2–4 months.

Depending on scope, design projects range from 6–12 weeks, with iterations aligned to development milestones.

AI product development at Goji Labs is the work of designing and building AI-powered products, copilots, assistants, and workflows that produce measurable business outcomes. We treat AI as part of the product system, not as a feature layered on top. Every engagement is grounded in a clear use case, a defined data strategy, and a path from prototype to production.

A prototype is a focused, functional system designed to test a specific idea or use case. It is not production-ready, but it provides enough capability to evaluate performance, usability, and feasibility.

AI systems operate in dynamic environments where data, user behavior, and use cases evolve. Without continuous improvement, performance can plateau or decline.

Workflow automation, analytics dashboards, team collaboration tools, and B2B SaaS systems.

Donation platforms, community engagement apps, volunteer management tools, and SaaS for operations.

A rebrand changes visual identity — logos, colors, typography. A product redesign changes how users interact with and navigate your product. They can happen together, but they’re different scopes of work.

A chatbot typically answers questions based on predefined responses or simple logic. An AI assistant is designed to understand context, access real data, and complete tasks by integrating with your systems and workflows.

AI introduces new and often unfamiliar interaction patterns. Without strong UX, users can become confused or lose trust in the system. Good design makes AI more understandable, predictable, and effective.

We build a range of AI capabilities including copilots, conversational interfaces, recommendation systems, intelligent search, and workflow automation. Each feature is designed around a specific user need and business outcome.

Most engagements are completed within 2–4 weeks. The process is designed to move quickly while still providing enough depth to confidently prioritize opportunities and define a clear path forward.

Yes. Goji Labs signs mutual non-disclosure agreements as standard practice before any substantive discussion of confidential product, business, or technical information.

Goji Labs works with PE-backed companies in four engagement models: single portfolio builds, multi-portfolio preferred partner arrangements, pre-acquisition due diligence, and post-acquisition or exit-readiness work. The right model depends on portfolio strategy and company maturity.

Analytics dashboards, workflow SaaS tools, and digital modernization projects for portfolio companies.

Platforms and templates are the right choice when your product fits their constraints. Custom development is the right choice when your differentiation lives in the product experience itself, when you need integrations that platforms can not support, or when your users have specialized workflows that generic tools can not handle. If you’re not sure, describe what your app needs to do and we’ll give you an honest recommendation.

Booking systems, guest service apps, loyalty platforms, and SaaS tools for hotels and travel agencies.

Shipment tracking, fleet management, ERP integrations, and real-time dashboards.

It’s the process of identifying why users don’t complete key actions — sign up, activate, purchase, upgrade — and improving the experience to increase that rate. It combines UX research, behavioral analytics, design iteration, and testing.

Most Agile engagements run in 2–3 week sprints. Depending on complexity, projects can range from a few months to long-term partnerships.

Concept validation is the process of testing whether your product idea solves a real problem for real people before committing the time and cost of a full build. It matters because the most expensive mistakes in product development happen when teams build the wrong thing — not when they build the right thing slowly.

Goji Labs offers four engagement models: project-based engagements with defined scope, ongoing retainers, discovery or strategy sprints, and dedicated development teams that operate as an extension of the client’s internal team. The right model depends on scope, timeline, and existing in-house product capability.

Timelines typically range from 3–4 months for an MVP to 6–9 months for complex applications. The exact duration depends on scope, integrations, and the required feature set.

Yes. That’s what discovery is for. We’ll map your users, define the minimum feature set that proves your core value, and produce a functional specification you approve before any development begins. You’ll know exactly what’s being built and why before we start.

Common workflows include customer support triage, report generation, data processing, lead qualification, content generation, and internal knowledge retrieval. Any process that is repetitive and rule-based is a strong candidate for automation.

After launch, you receive a maintenance document detailing each task, who completed it, time spent, and status. This ensures complete visibility into how your hours are used.

Custom apps, SaaS platforms, marketplaces, and integrations with Shopify, WooCommerce, or Magento.

Yes — we have deep experience with nonprofits across education, healthcare, community services, and advocacy. We understand the funding constraints, governance structures, and audience diversity that make nonprofit technology work different.

Applicant tracking systems, onboarding apps, performance platforms, and workforce management SaaS.

Networking platforms, content-sharing apps, fan communities, and membership SaaS products.

Streaming apps, gaming platforms, digital publishing tools, and media SaaS platforms.

AI models rely on data to generate outputs. Without a structured and accessible data layer, results can be inconsistent or inaccurate. A strong data foundation improves reliability and overall performance.

We look at the full lifecycle: activation (are new customers reaching value quickly?), retention (are they staying and expanding?), and efficiency (is the product reducing the cost of serving customers at volume?). All three matter.

Yes. We can analyze product usage, identify improvement opportunities, refine UX patterns, and enhance performance. This ensures your product continues to evolve with user needs and business goals.

We have experience building products that address KYC/AML requirements, SEC/FINRA guidelines, SOC 2 compliance, PCI-DSS for payment processing, and state-level money transmission requirements. We always recommend working with legal counsel for specific regulatory advice.

SaaS platforms, data dashboards, analytics tools, and workflow management systems.

Fintech SaaS, mobile banking apps, payment platforms, and investment tools.

We assess debt against three dimensions: business impact (is it slowing revenue or creating risk?), effort to address, and compounding cost over time. That produces a prioritized roadmap, not just a list.

Monitoring tools, reporting dashboards, customer-facing apps, and SaaS platforms for energy management.

Telehealth, patient portals, EHR integrations, and SaaS platforms for providers.

Learning management systems, student engagement apps, eLearning platforms, and SaaS tools for administrators.

Mobile companion apps, gaming SaaS tools, eSports platforms, and community apps.

Most audits are completed within 3–6 weeks, depending on product size and complexity.

Engagements typically run for several months to multiple years, depending on the complexity of the product and roadmap.

Most engagements range from 3–6 weeks depending on product complexity, market readiness, and the number of assets required.

Yes. We partner with organizations across industries and maturity stages. Our strategy-first approach adapts to the needs of scaling startups, enterprise teams navigating complexity, and PE groups managing product portfolios.

Most engagements take 3–6 weeks depending on the depth of research, number of user tests, and complexity of the product.

Low engagement is often a leading indicator of churn. Users who use the product less frequently are more likely to cancel or stop returning. We look at both — and treat engagement as an early warning system for churn risk.

The most common failure mode in UX consulting is beautiful work that does not connect to the business problem. We start every engagement by defining the metrics the design needs to move — conversion rate, activation, retention, task completion — and every decision is evaluated against those outcomes. You will know before we finish whether the work is performing.

Yes. We frequently work alongside internal teams—founders, CTOs, PMs, engineers—and plug into your existing workflow. Our role is to bring clarity, reduce uncertainty, and help your organization move faster with strategic alignment.

Timelines vary widely based on the complexity of systems involved—engagements typically range from 3 months to over a year for enterprise-scale transformations.

Yes. For larger products or teams, we build scalable component libraries to maintain consistency across screens, features, and future iterations.

Projects range from predictive analytics and SaaS platforms to enterprise automation and customer-facing AI applications.

Most sprints last 1–2 weeks, with a clear, actionable roadmap delivered immediately after.

Most sessions are completed in 2–4 weeks, depending on scope and the level of analysis required.

Most MVPs can be launched in 3–4 months, depending on scope and complexity.

Claims processing tools, policy management systems, customer apps, and SaaS platforms for carriers.

We build workout apps, wellness platforms, coaching tools, and subscription-based fitness products.

We work across product features, internal tools, and workflow automation. This includes assistants, recommendation systems, and AI-powered operational tools.

We build telehealth platforms, patient-facing apps, provider tools, and internal healthcare systems.

Timelines vary by scope, small interfaces may takes 4-6 weeks, while full product design can range from 2-4 months.

We build consumer apps, enterprise tools, and platform-based products across iOS and Android. This includes new builds, redesigns, and ongoing improvements.

We build web applications, internal tools, platforms, and custom systems across a range of industries and use cases.

We build platforms, internal tools, dashboards, and customer-facing web applications across a range of industries.

Adding AI features means bolting an LLM call onto an existing interface, usually a chat widget, a summary button, or a suggested response. AI product development means designing AI as a native layer inside the core workflows users already rely on: determining where it should live, what it should produce, how users should interact with its outputs, and how the system should behave when it’s uncertain. The former is fast to ship and slow to adopt. The latter takes more upfront design and delivers durable engagement.

The audit covers four areas: the completeness of AI signal mapping across your product, how well your product calibrates user expectations about AI capabilities, the quality of AI responses from a UX standpoint (not a model accuracy standpoint), and the effectiveness of your error handling and recovery flows. It does not evaluate model performance in isolation. Instead, it evaluates the interface layer through which users experience the model.

Frogslayer is strong in custom software, modernization, project rescue, and embedding AI/automation into existing operations. Goji Labs is strategy and design-led: we help decide what to build, design the experience, and engineer it. If you’re building a customer-facing product, that’s us; if you’re modernizing or automating internal systems, Frogslayer is a strong fit.

Our typical model is project-based, scoped to a product outcome, and many clients continue into a growth/iteration phase after launch. If a productized monthly retainer for internal AI/automation is specifically what you want, Frogslayer’s AI Office is built for that.

That’s squarely Goji Labs’ focus 500+ products shipped since 2014 with in-house strategy, design, and engineering. Frogslayer’s strengths center more on custom software, modernization, and internal automation.

thoughtbot is an engineering-led shop with deep Rails and developer-tooling heritage. Goji Labs is strategy and design-led: we help decide what to build, design the experience, and engineer it. If elite engineering is the whole job, thoughtbot is excellent; if strategy and UX matter as much as code, that’s us.

Both are senior U.S. teams in a similar range. The bigger difference is how you start: with Goji Labs you can begin with a ~$25K strategy sprint to align on what to build before a full engagement (builds average ~$175K), which de-risks a large upfront commitment.

Goji Labs is built for concept-to-scale product work with strategy and design up front. thoughtbot shines when the product direction is set and the priority is engineering execution or team augmentation.

MetaLab is a premium, marquee product-design studio known for flagship consumer and SaaS products at $150K+ minimums. Goji Labs offers the same strategy-led design-and-build discipline — product strategy, UX, and in-house engineering — scaled for mid-market, PE-backed, and mission-driven teams, at a more accessible rate. Same bar, different fit and price point.

MetaLab is built for well-funded flagship work. Goji Labs is a senior, hands-on partner for teams that want strategy-led product work through the full lifecycle without a six-figure minimum. You’re paying for the right fit, not a discount.

Both do concept-to-launch work. MetaLab excels when marquee design polish and brand are paramount and budget is large. Goji Labs excels when you want strategy, design, and engineering under one roof, a hands-on senior team, and a build engineered to scale — at mid-market economics.

Both are senior U.S. teams that build custom software. Saritasa leads with broad engineering across web, mobile, and emerging tech like AR/VR and IoT. Goji Labs leads with product strategy and design, then builds, with strategy, UX, and engineering in one team. If the priority is wide ranging engineering, Saritasa is strong. If strategy and design matter as much as code, that is us.

Goji Labs is built for strategy and design led product work, from concept through scale. Saritasa shines when the priority is broad engineering execution or specialized tech like AR/VR and IoT.

Both price per project and both do serious six figure work. With Goji Labs you can start with a ~$25K strategy sprint to align on scope before committing to a full build, which lowers the risk of a large upfront commitment. Builds average around $175K.

By aligning software goals with key metrics like delivery speed, cost, and transparency.

Most engagements are completed within 2–6 weeks depending on the complexity of the idea and the level of validation required.

Optimization can focus on accuracy, response quality, cost efficiency, latency, and overall system performance. It can also include improving workflows and expanding capabilities.

We work with both. Many engagements focus on enhancing existing products with AI capabilities, while others involve building new AI-native products from the ground up.

By aligning gameplay, engagement features, and monetization strategy early.

AI systems are less deterministic and often produce variable outputs. This requires designing for uncertainty, guiding user expectations, and handling edge cases in a way that feels clear and controlled.

By focusing on essential features first and scaling only as needed.

AI models rely on data to generate outputs. Without a structured and accessible data layer, results can be inconsistent or inaccurate. A strong data foundation improves reliability and overall performance.

By embedding WCAG and ADA compliance standards directly into UI/UX design.

By identifying high-impact digital initiatives that improve valuation and efficiency.

Expect a prioritized list of usability insights, clear recommendations, and validation of what’s working well.

Each initiative begins with research and discovery, followed by lean prototyping to validate outcomes before scaling to full builds.

Yes. Most of our design engagements are redesigns of existing products rather than greenfield builds. We start with an audit of the current experience to understand what is working, what is not, and what the redesign needs to achieve before touching a single screen.

By defining the core audience, content flow, and revenue model before development.

Yes. We staff native iOS and Android engineers and can run both builds in parallel or sequentially depending on your priorities and budget.

By aligning features with client needs, compliance, and firm efficiency goals.

Web applications, mobile apps (iOS and Android), SaaS platforms, internal tools, APIs and data pipelines, and customer-facing digital products. We work across healthcare, fintech, media, logistics, and education. The common thread is teams that need software that performs in production, not just in the demo.

By embedding security and regulatory requirements into the roadmap from day one.

A well-scoped rebuild or new build typically takes 3 to 5 months. Applications with complex backends, multiple user roles, or significant integration requirements run 6 to 9 months. We provide a detailed timeline at the end of discovery when scope is confirmed.

A focused custom MVP typically takes 4 to 6 months. Apps with custom backends, multiple user roles, and extensive integrations take 6 to 12 months. We provide a detailed timeline after discovery when scope is defined.

By mapping business goals—like faster hiring or better retention—into the product roadmap.

By aligning features with user behavior and revenue goals before development.

HIPAA, GDPR, and other regulations are embedded in the product strategy and engineering process.

A website delivers content. A web application handles user accounts, data input, transactions, and personalized information. If users log in, submit data, or perform actions, you need a web app.

Many automation systems can deliver measurable impact shortly after deployment. Initial workflows are often designed to produce quick wins while building toward more advanced automation over time.

By defining clear goals—engagement, scalability, or accessibility—before development begins.

Agile development is ideal for startups, CTOs, and enterprises that value speed, adaptability, and transparency throughout the build process.

You receive a prioritized roadmap of AI opportunities, feasibility and data assessments, solution direction, and a clear execution plan outlining what to build next. This is a working strategy your team can immediately act on.

By defining measurable goals—like efficiency, compliance, or consumer adoption—before development begins.

Yes. We have experience with major EHR integrations using HL7 FHIR APIs and other integration patterns. We scope integration complexity honestly at the start of every healthcare engagement.

By defining core value propositions early and aligning roadmap priorities with user needs.

Typically: a discovery and audit phase (1 to 2 weeks), a research and strategy phase (1 to 2 weeks), a design and prototype phase (2 to 4 weeks), and a handoff and documentation phase (1 week). Ongoing advisory retainers run monthly. We scope precisely to your situation in our first session.

It makes sense when the use case has a clear business outcome, a usable data foundation, and a user workflow AI can meaningfully improve. It does not when AI is being added for novelty or when the problem can be solved more reliably with conventional software. Goji Labs runs a 2-to-4 week AI Strategy & Opportunity Mapping engagement to answer this question with specifics.

By aligning product design with customer journeys—from booking to checkout.

We look at your behavioral data to find the actions most strongly correlated with long-term retention — what users who stayed did in their first session that users who churned typically didn’t. That becomes the activation benchmark we design onboarding toward.

It depends on your scale and goals. We help organizations assess whether custom is the right investment versus a well-configured off-the-shelf solution. When custom is the right answer, we scope it for sustainability.

Standard discovery often happens inside an organization and confirms what teams already believe. Our validation process is designed to find the things you’re wrong about — including the ones you’re not asking about yet.

Choose Goji Labs when you need a senior team that engages directly with the work, faster decision cycles, and strategy-led thinking without enterprise consultancy overhead. Larger agencies excel at multi-year transformation programs; Goji is built for focused product engagements where speed and clarity matter more than scale of headcount.

Yes. Goji Labs runs focused product and technical due diligence for PE firms evaluating acquisition targets, including a product audit, architecture review, UX risk assessment, and the post-acquisition investment estimate needed to bring the product to portfolio standards.

It depends on your giving volume, donor relationships, and program complexity. We help you make this decision honestly — and when custom is the right answer, we scope it for long-term maintainability, not just the immediate campaign.

Yes — that’s the goal. We sequence the work so modernization happens in parallel with ongoing development, not instead of it.

Assistants can be used in customer support, internal operations, and product experiences. Common use cases include support automation, internal knowledge assistants, onboarding flows, and task execution within applications.

Yes. We design and develop to meet modern accessibility best practices and WCAG guidelines, ensuring your product is usable by a wider audience and compliant with industry standards.

You can explore pages through the sidebar, leave comments by pressing “C,” and review prototypes with interactive flows. If you ever need help navigating or reviewing the work, your design team will walk you through everything.

We use a blended rate that covers strategy, design, development, QA, and project management. You’re only billed for the time spent building your product and achieving project outcomes.

Yes. We can set up analytics, monitoring tools, and dashboards to help track performance, user behavior, uptime, and system health.

You do. Under Goji Labs’s standard engagement terms, the client owns all code, designs, and intellectual property delivered as part of the work. We retain rights only to general methodologies and reusable internal tools.

Absolutely. Through discovery sprints, user interviews, and rapid prototyping, we help you test concepts quickly and cost-effectively. The goal is to validate core assumptions early so you can move forward with confidence—and avoid expensive pivots later.

We look at your behavioral data to find the actions that correlate most strongly with long-term retention — the specific things users do in their first session or first week that predict whether they’ll still be active 30 days later.

A/B testing is one tool, not the whole process. We start with diagnosis before jumping to experiments. Most meaningful conversion improvements come from understanding the problem deeply before designing solutions.

Yes. Many engagements start with a focused 2-to-4 week sprint such as AI Strategy & Opportunity Mapping, a Product Strategy Sprint, or a Digital Product Audit, with no commitment to follow-on design and development work.

By aligning product roadmaps with organizational goals and integration needs.

Yes. We can build custom APIs tailored to your product, or integrate third-party solutions such as payment gateways, authentication systems, data services, analytics, or external tools.

Most commonly in onboarding — where activation is too slow or too manual — and in the gap between what sales sells and what product actually delivers.

Goji Labs was founded in 2014 and has been in business for over 12 years. In that time we have launched more than 500 products, supported over 25 million users, and worked with clients who have collectively raised more than $1 billion.

We stage the rollout, communicate changes clearly, and test with real users before full deployment. We also flag which changes carry the highest transition risk and plan accordingly.

Timelines depend on scope, complexity, and the level of strategy needed. Simpler projects can move quickly, while full product builds typically range from several weeks to several months. The best way to get an accurate timeline is to schedule a discovery call so we can understand your goals and requirements.

By focusing on user journeys—like property discovery or transaction speed—before development.

We design KYC flows to be as frictionless as possible while meeting compliance requirements — integrating with providers like Persona, Jumio, or Plaid Identity and designing the UX to maximize completion rates.

We focus on behavior, not just features. That means designing for habits, personalization, and ongoing engagement from the start.

We identify where AI creates measurable leverage. If it doesn’t clearly improve outcomes, we won’t recommend it.

Yes. We follow HIPAA best practices across architecture, data handling, and system design to support compliance requirements.

Yes. We support both native and cross-platform development depending on your product needs, timeline, and long-term goals.

Yes. We often step in to improve, extend, or stabilize existing software without requiring a full rebuild.

Yes. We often improve performance, redesign UX, or continue development on existing systems.

We start with workflow frequency and decision friction. The highest-value AI features are the ones that live inside actions users take dozens of times a week, where the cost of a slow or inconsistent process is real and repeated. We map those against what AI is actually good at right now, and find the overlap. We don’t build toward impressive demos; we build toward the feature a power user would miss if you removed it.

More than most teams expect. Response quality from a user’s perspective is shaped by how the response is framed, displayed, and contextualized, not just by what the model says. Truncation logic, confidence language, response length calibration, loading states, and the way errors are surfaced are all design decisions that sit entirely outside the model. These are often where the biggest UX gains can be made.

Yes. We work in iterative sprints, prioritize transparency, and deliver ongoing updates. This allows us to adapt quickly, reduce risk, and keep development aligned with your goals and timeline.

You have full decision-making power. We bring recommendations based on best practices, research, and user behavior—but the final direction is always yours.

Costs vary based on scope, functionality, platform, and level of strategy required. We take a blended-rate approach that covers design, development, quality assurance, and project management. After understanding your needs, we provide a clear estimate so you know exactly what to expect.

By aligning features with business goals—like faster claims or better retention—before development.

Yes. We work alongside internal teams regularly — providing strategic direction, design reviews, and quality oversight while your team handles execution. We can also run independently if you need an outside perspective that is not filtered through internal politics.

We research your specific donor population and design for their actual digital behavior — not for a hypothetical tech-savvy user. That typically means simpler flows, larger text, clear trust signals, and robust phone support.

Yes—UI/UX design emphasizes usability and engagement to keep audiences active.

Yes—clear design makes technical insights easy to understand for any audience.

Consulting offers deeper, ongoing support. A sprint is a time-boxed process built to deliver alignment and clarity quickly.

Usually both — but onboarding first. A broken onboarding experience can’t be compensated for by better push campaigns. We diagnose which is the higher-leverage investment for your specific situation.

Yes—UI/UX design transforms complex workflows into clear, user-friendly experiences.

An activation audit and redesign direction typically takes 2–4 weeks. Implementation and validation cycles depend on scope and your team’s build capacity. We can target a specific launch window or run a longer iterative engagement.

A growth audit and roadmap typically takes 3–6 weeks. Development cycles depend on scope. We can run a focused sprint on a specific bottleneck or manage a broader multi-quarter engagement.

Yes. We can integrate AI-powered features such as recommendations, natural language processing, automations, and custom ML logic—based on what aligns with your product and users.

We translate technical findings into business terms: slower time-to-market, higher incident rates, longer onboarding times, and risk of system failure under load. This helps leadership understand and fund the investment.

Yes—custom software can modernize outdated infrastructure while supporting integration.

Yes—UI/UX design prioritizes moderation tools and trust-based interactions.

Yes. Human-centered design ensures advanced functionality remains accessible and easy to adopt.

Yes. We conduct qualitative and quantitative research, competitor audits, and market analysis to understand user behaviors and opportunities in your space. This gives your team data-driven insights that strengthen positioning, reduce assumptions, and guide smarter product decisions.

Yes—UI/UX design prioritizes ADA compliance and user diversity.

Yes—custom architecture supports heavy usage and live interactions.

Yes. We have experience with Plaid, Stripe, and direct banking API integrations. We scope integration complexity honestly and account for edge cases that simpler implementations miss.

Yes—design ensures secure experiences remain fast, intuitive, and trustworthy.

We work with your existing systems whenever possible. Automation is built on top of your current infrastructure through integrations, rather than requiring a complete replacement of tools.

Yes—custom software connects directly with property and customer systems.

Yes—custom development ensures seamless integration with existing systems.

Yes. We offer hosting for many partners, including production and staging environments, routine updates, and maintenance support. Packages are tailored based on traffic, performance needs, and security requirements.

Yes—UI/UX design ensures accessibility and inclusivity are prioritized.

Yes—design focuses on speed, clarity, and reducing friction to improve conversions.

Yes—platforms can scale and adapt across businesses and verticals.

We assess the update, build it on staging, test it, verify mobile compatibility, then deploy it to production. Each step is logged with clear hour tracking to maintain full transparency.

We conduct direct research with the communities you serve — not just with staff or leadership. We account for digital literacy, language, connectivity, and accessibility in our design decisions.

Success is tracked against sprint goals, product stability, user adoption, and business outcomes—not just lines of code.

Yes. Many clients continue into design and development engagements where we build AI-powered products, assistants, and automation systems based on the roadmap defined during the sprint.

Cost depends on scope, data complexity, and whether you are building net-new or enhancing an existing product. Goji Labs uses a blended rate covering strategy, design, development, QA, and project management. A focused AI prototype runs 2 to 6 weeks; a full AI product build typically spans several months.

Audits and first-round recommendations typically take 3–6 weeks. Implementation and testing cycles vary based on scope and your team’s capacity to build and iterate.

Typically 2–4 weeks for a focused engagement covering one core concept. Multi-concept validation or more complex market assessments take longer. We scope the engagement to match your timeline and the number of assumptions you need to test.

Yes. We work with the operating partner and the acquired company’s leadership to align the product to the broader portfolio thesis, stabilize technical debt, and accelerate roadmap delivery to hit value-creation targets.

Yes—software can connect sensors, vehicles, and enterprise systems for end-to-end visibility.

Optimization is typically ongoing, with regular evaluation and improvement cycles. The frequency depends on system complexity, usage, and business needs.

That is part of the value. Identifying limitations early prevents wasted investment. We use those insights to refine the approach, adjust the concept, or recommend alternative solutions.

Yes—APIs and custom integrations connect products across platforms.

Yes. We often collaborate closely with internal teams to extend existing design systems and ensure AI experiences fit naturally within the broader product.

Yes—custom platforms connect with industry-standard MLS and APIs.

We design systems that combine model outputs with structured data, validation layers, and user feedback loops. This helps improve accuracy and reduce issues such as hallucinations.

Yes—UI/UX design ensures seamless, motivating experiences that encourage participation.

Yes. Goji Labs provides fractional product leadership for companies that need senior product judgment without a full-time hire, paired with the design and engineering capability to translate strategy into shipped work.

Yes. We design assistants to integrate with your existing tools such as CRMs, support platforms, databases, and APIs so they can retrieve information and take action.

Yes. Goji Labs has built healthcare products requiring HIPAA-compliant architecture and PHI handling, and we can execute Business Associate Agreements (BAAs) where engagement scope requires it.

Yes. We work embedded within client teams regularly — contributing to existing codebases within established sprint processes, conforming to existing code standards and tooling. We can also run as an independent development track for specific product lines or a full rebuild alongside your internal team.

A clear description of the problem you are trying to solve, access to existing documentation or code if applicable, and a decision-maker who can respond to scope questions without a two-week approval chain. We handle the product thinking, design, and engineering.

Goji Labs is headquartered in Los Angeles, California. We are a US-based agency with team members across multiple cities, and we serve clients nationwide through dedicated regional pages for Los Angeles, Seattle, Dallas, Houston, Philadelphia, Phoenix, San Jose, San Antonio, and Chicago.

Choose Goji Labs when you need a coordinated team across product strategy, design, engineering, QA, and project management, not a single discipline. Freelancers work for narrow tasks; product builds require all those disciplines moving together against one roadmap and one accountability point.

We research both populations separately — patients and clinical staff — and design for the intersection of their needs. The goal is a product that improves outcomes for both, not a compromise that serves neither well.

Design and engineering work in parallel, not in sequence. Designers and engineers are on the same team and work against the same sprint cadence. This eliminates the handoff gap that causes most of the discrepancies between what was designed and what gets shipped.

Yes, for products that need it. We can build a custom API and backend alongside the mobile app or connect to your existing infrastructure.

Yes—custom development ensures tools connect with CRMs and document databases.

A focused MVP takes 3 to 5 months. Applications with complex data models and integrations take 5 to 9 months. Timeline is confirmed after discovery

Not necessarily. The focus is on structuring and using existing data effectively. Even smaller datasets can be valuable when properly organized and connected.

Frontend: React, Next.js, Tailwind. Backend: Node.js, Ruby on Rails. CMS: WordPress, Contentful, Sanity. Hosting: AWS, Vercel, DigitalOcean. Stack is chosen based on what your content management needs require and what your team can operate after handoff.

Discovery through validated design direction typically takes 4–8 weeks. Full implementation varies significantly based on product scope and engineering capacity. We scope this precisely in the initial engagement.

Yes. We integrate with video platforms, fitness devices, and third-party APIs to create connected user experiences.

Yes. We design AI solutions around your current infrastructure so everything integrates cleanly.

Yes. We have experience integrating with EHRs and other healthcare systems to ensure data flows accurately and securely

Yes. We often step in to improve UX, stabilize performance, or continue development where another team left off.

We break complexity into clear phases, align stakeholders early, and build systems with scalability and long-term performance in mind.

We plan architecture and infrastructure early, focusing on performance, data handling, and long-term maintainability.

Calling an API is the easy part. The hard parts are product definition (which features, with what UX), architecture (how AI integrates cleanly into your existing system without accumulating debt), and output quality (prompt engineering, evaluation, fallback handling, confidence signaling). Most teams that ‘already use the API’ have a proof-of-concept that users interact with occasionally. Goji helps you get to something users depend on.

Traditional usability testing is designed for deterministic interfaces with predictable outputs. AI products fail in ways that standard usability tests don’t surface, including subtle trust erosion, miscalibrated expectations, and non-obvious error conditions. This audit applies heuristics specifically developed for AI interaction patterns and tests failure modes that conventional UX methods aren’t designed to uncover.

Data encryption, compliance frameworks, and secure engineering practices are built into development.

Yes—custom software can connect with CRMs, email marketing, and fundraising systems.

Clear, data-driven design ensures visibility and confidence at every level.

Simple, intuitive design helps agents and buyers navigate complex processes quickly.

Discovery and design typically take 4–8 weeks. Development timelines vary significantly based on integration complexity and scope. We scope this precisely after the initial assessment.

Listing platforms, agent apps, property management SaaS, and client portals.

An audit and strategy engagement typically takes 3–6 weeks. Platform development timelines vary based on scope — we can target a specific campaign deadline or take a longer view. We’ll scope both options.

We research your specific user population — their financial sophistication, goals, and anxieties — and design data presentation that gives users the information they need to act confidently without overwhelming them.

By reducing complexity, improving clarity, and increasing productivity across teams.

Rarely. A full rewrite is usually the highest-risk, highest-cost option. We look for the highest-impact interventions that don’t require starting from scratch — and recommend a full rebuild only when the evidence clearly supports it.

Ideally: event-level behavioral data (installs, sessions, key actions), cohort retention data, and any exit survey or cancellation reason data you’ve collected. We’ll also identify gaps in your instrumentation that are limiting visibility.

A validated (or invalidated) problem statement, a tested prototype or concept, a prioritized MVP scope, and a build-ready brief — along with the research artifacts and analysis behind each conclusion.

Clear, intuitive workflows reduce friction and increase employee and admin usage.

We understand what investors look for in a product at your stage. We can shape the engagement to produce both operational improvement and a compelling narrative for your raise.

We work with whatever you have in place — Mixpanel, Amplitude, GA4, Heap, Hotjar, etc. — and flag any instrumentation gaps limiting your diagnostic accuracy.

We help you define what impact looks like in your context, then build the data capture and reporting infrastructure to measure it. This typically includes program participation, outcomes tracking, donor behavior, and staff efficiency metrics.

Not necessarily. Redesigns can be scoped by user flow, product area, or priority. We’ll assess what needs to change versus what’s working and shouldn’t be touched.

A clear, frictionless interface keeps users engaged and improves long-term retention.

By simplifying complex processes into clear, intuitive experiences for both lawyers and clients.

Usually not. More steps typically means more drop-off. The goal is to remove everything between new users and the value moment — not to give them more to read or click through. Explanation is often better delivered in context, at the moment it’s relevant, than upfront.

Intuitive design ensures guests can navigate services quickly and enjoyably.

Yes—platforms can be custom-built to connect with leading EHR providers.

Clear dashboards and mobile interfaces improve adoption and decision-making at every level.

We account for that explicitly. If your users arrive with meaningfully different jobs to be done, we design differentiated onboarding paths — or identify the single activation moment that works across segments — rather than forcing everyone through one flow.

Yes—custom platforms can connect with underwriting, compliance, and CRM systems.

We design systems with validation layers, monitoring, and fallback mechanisms to ensure accuracy and consistency. Workflows are tested and refined to perform reliably under real-world conditions.

Traditional consulting often focuses on high-level recommendations or exploration. This engagement is focused on defining what to build and why—with clear prioritization, feasibility validation, and a direct path to execution.

Yes. Many prototypes serve as the foundation for full development. We define what is required to transition into a scalable, production-ready system as part of the engagement.

No. We can assess and improve existing AI systems regardless of who built them, provided we have access to the necessary components and data.

Yes. Many engagements focus on refining and improving existing AI experiences. This includes redesigning interactions, improving clarity, and addressing usability challenges.

Yes. We design data layers that integrate with your current infrastructure, including databases, internal tools, and third-party platforms.

We use structured data connections, validation layers, and testing processes to improve response accuracy. We also design fallback mechanisms and human handoff workflows to handle edge cases effectively.

Choose Goji Labs when you need to move faster than a hiring cycle, validate a direction before committing to permanent headcount, or fill a gap that does not justify a full-time hire. Many clients use Goji to ship the first version, then transition to an internal team once the direction is proven.

We continue to support optimization and iteration. AI systems improve over time through monitoring, refinement, and the addition of new capabilities based on user behavior and performance data.

Yes. Retainer engagements typically begin after launch and cover ongoing development, optimization, and maintenance. Most clients start at 10 to 30 hours per month and scale down to 3 to 10 hours once the product stabilizes.

Most clients begin with 10–30 hours per month following launch and scale down to 3–10 hours once the product stabilizes. You can adjust hours monthly based on your needs.

We evaluate your product goals, performance requirements, scalability needs, team constraints, and long-term roadmap. Then we select a stack that balances flexibility, reliability, and cost efficiency.

Yes. Our strategy sprints bring your team and ours together to define goals, unpack user needs, map core flows, and align on success metrics. These workshops compress weeks of decision-making into focused sessions that create clarity and unlock momentum.

Yes. Goji Labs operates as a preferred product partner for several PE firms, supporting multiple portfolio companies under a single relationship while letting each company engage on the specific scope it needs.

Yes. For products that require continuous delivery or complex environments, we support automated testing, CI/CD pipelines, and scalable infrastructure to ensure stability and reliability.

Goji Labs has launched more than 500 products over 12+ years in business. Those products have collectively supported over 25 million users and have helped client companies raise more than $1 billion in funding.

Contact us immediately. We prioritize uptime and will resolve the issue as quickly as possible. Outages can stem from hosting, third-party services, or code changes, and we help address all scenarios.

Goji Labs treats client business information as confidential by default. Access is limited to the engagement team, communication runs through controlled channels, and we operate under signed NDAs throughout. Additional controls can be added for elevated security requirements.

Goji Labs AI engagements follow a phased timeline: 2 to 4 weeks for AI Strategy & Opportunity Mapping, 2 to 6 weeks for AI Prototyping & Rapid Validation, and several months for full design, build, and launch. Phasing reduces risk by validating feasibility before committing to full development.

Absolutely. Mobile-first design ensures eCommerce products work seamlessly across devices.

Yes—custom solutions connect seamlessly with payment processors, APIs, and compliance tools.

Every project begins with discovery—aligning on goals, users, and requirements. From there, we move into design, where we shape the product experience. Then development brings those designs to life, followed by QA and launch. Each step is intentional and designed to reduce risk and move the product forward with clarity.

Yes—software development ensures infrastructure supports growth across markets.

Yes, education products can be built to connect seamlessly with widely used LMS platforms.

You do. All code, design assets, and documentation transfer to you at project close. We do not retain licenses or lock you into proprietary tooling.

It’s not just development—it’s strategy-led execution that reduces risk and ensures the right product is delivered at the right time.

It combines native Android best practices with strategy-led design—ensuring each app is fast, intuitive, secure, and built for long-term growth rather than short-term fixes.

Intuitive interfaces and feedback loops keep players returning and participating.

Through cloud infrastructure and modular software development.

Seamless integration into existing teams accelerates timelines while preserving in-house expertise.

Yes. We design for iOS, Android, and web — responsive and native — with platform-specific design patterns applied where they improve the experience for users on each platform.

Yes—custom software can connect directly with sensors, devices, and legacy systems.

It leverages Apple’s ecosystem directly, unlocking the highest levels of speed, security, and UX consistency that cross-platform tools can’t fully match.

A project lead, one or two engineers, a UI/UX designer, and a QA engineer. We scale team size and add specialists — mobile engineers, DevOps, data engineers based on what the product actually requires, not a standard package.

Deliverables may include wireframes, user flows, prototypes, high-fidelity screens, design systems, and documented interaction patterns. These assets ensure the development team can implement the product with clarity and precision.

It reduces risk, prevents wasted resources, and ensures your product is built around real user needs before scaling—improving long-term adoption and growth potential.

Yes. Goji is a full-service product agency — strategy, design, and engineering under one roof. If the consulting engagement reveals a need for a broader build or rebuild, we can scope and execute that work without introducing a new team or losing the context we have built.

Yes. We build systems that support subscriptions, memberships, and in-app purchases tied to your business model.

We design for production from the start. That includes scalability, monitoring, and continuous improvement.

We design for real-world usage. That means understanding clinical workflows, patient behavior, and building systems that are easy to use in high-pressure environments.

We start with strategy to define the right product, move into design to validate the experience, and then develop in phases to reduce risk and improve speed to launch.

We select technologies based on your product needs, not preferences. The focus is always on performance, scalability, and maintainability.

We choose technologies based on your product needs. The focus is always on reliability, scalability, and maintainability.

For a well-scoped first feature, four to eight weeks from kickoff to live in production is realistic. The first two weeks are workflow audit and feature definition. Weeks three through six are architecture and build. The final stretch is testing with real users and launch instrumentation. Scope is the primary variable, teams that arrive with clear priorities move faster than teams that arrive with a long list.

Most audits are scoped and completed in 2–3 weeks. The timeline depends on the complexity of the product, the number of AI-driven flows, and whether the engagement includes user research alongside the heuristic analysis. We scope the engagement precisely during an initial discovery call so there are no timeline surprises.

We can handle the full design process — from research through production-ready specs. Or we can augment your existing team. Either model works.

We’ve partnered across healthcare, finance, energy, logistics, retail, entertainment, HR tech, government, real estate, and more. Our strength is applying strategy, design, and engineering fundamentals to any product category with clarity and precision.

We work with modern frameworks like React, Next.js, Vue, and other ecosystem tools. These technologies allow us to build fast, reliable, and scalable user interfaces across web and mobile platforms.

We track online giving revenue, first-time to second-time donor conversion rate, recurring giving enrollment, and post-gift engagement rates — and help you connect those metrics to your broader development strategy.

Goji Labs has shipped products across 20 industries, including AI, SaaS, fintech, healthcare and fitness, education, ecommerce and retail, energy and sustainability, government, gaming, HR and recruiting, insurance, legal and regulation tech, logistics and transportation, media and entertainment, nonprofit, private equity, real estate, social media, and travel and hospitality.

We design to WCAG 2.1 AA standards and account for the specific accessibility needs of healthcare populations — including older adults, those with chronic conditions, and non-English speakers.

An initial audit and prioritized roadmap typically takes 2–4 weeks. Execution timelines vary based on the scope of debt and engineering capacity. We scope this precisely after the audit.

Yes. We have significant experience working on products serving enterprise customers — including onboarding complexity, permission systems, multi-tenant architecture, and sales-assist workflows.

When off-the-shelf tools are creating significant friction in your programs, when you’re managing critical community data in spreadsheets, or when your digital experience is limiting your ability to grow your donor base or beneficiary community.

We cover any post-launch bugs related to our work for the first week. After that period—or for issues caused by new plugins, integrations, or external changes—we provide fixes using your maintenance hours or at an agreed-upon rate.

Designs are built to match real content, so differences often come from updated text, images, or layout variations. If you’re ever unsure, talk to your project team—we’ll help ensure the design accommodates how your content will evolve.

QA happens continuously throughout development. Our team tests functionality, performance, accessibility, and responsiveness across devices. Before launch, we run a full test cycle and invite you to evaluate the product as well.

Most Goji Labs engagements run $50,000 to $1,000,000 in total investment with a 30-to-90 day buying cycle and several months of delivery. Smaller engagements like AI Strategy & Opportunity Mapping or a Product Strategy Sprint complete in 2 to 4 weeks.

That’s a valuable outcome. An invalidated concept saves you from building something nobody wants. We’ll also help you understand what adjacent problems or variations might be worth exploring.

Strategy-first means we define what should be built, who it serves, and why it creates value before any screen is designed or any code is written. The result: design and development time invested only where it creates real value, not on features that get cut later.

A product tour is one onboarding mechanism — and often a weak one. Most users skip walkthroughs. We focus on what actually drives activation: getting users to the first meaningful action as quickly as possible, with the right framing, rather than narrating a feature set.

Depending on scope, deliverables may include user personas, journey maps, feature prioritization, competitive landscape analysis, technical feasibility assessments, and a strategic roadmap. These become the foundation for design and development, ensuring the product is built right.

Changes to onboarding and activation typically show results within 2–4 weeks of launch. Longer-term retention improvements (D30, D90) take longer to measure by definition. We’ll set realistic timelines at the start of engagement.

Your designer will create the updated asset, you’ll approve it, and then our development team will implement it. Updates can be covered under maintenance hours or billed separately.

An AI data layer is the infrastructure that connects AI models to your proprietary data through retrieval pipelines, vector databases, and orchestration logic. It matters because AI outputs are only as accurate as the data the model can access. Without a structured data layer, AI systems produce inconsistent results, hallucinate information, and lose value over time. Goji Labs designs the data layer that makes AI accurate, reliable, and grounded in your business context.

Loyalty apps, POS systems, inventory platforms, and omnichannel SaaS tools.

We reduce technical debt, harden the product against scrutiny in technical due diligence, document product strengths, and address UX or architecture issues sophisticated buyers will flag. The goal is to remove product-side friction from the exit process.

Strong traffic with poor conversion usually means the product experience doesn’t match what users expected when they arrived — or there’s too much friction before they reach the value moment. We diagnose which it is.

Validation can happen in weeks. Production systems typically take a few months depending on complexity.

Timelines vary based on complexity and compliance needs, but most projects start with a strategy phase followed by iterative design and development.

Timelines depend on complexity, but most projects start with a focused strategy phase followed by iterative design and development.

Timelines vary based on scope and complexity, but most engagements start with a strategy phase followed by iterative design and development.

Timelines vary based on complexity, but most projects start with a strategy phase followed by iterative design and development.

Most aren’t. AI readiness isn’t a precondition, it’s something we work toward together during the engagement. We assess the existing infrastructure in the first two weeks and identify the minimum viable changes needed to support the AI layer cleanly. In most cases, these are targeted additions rather than broad refactors. We flag what would be expensive to fix later if we defer it, and we document it so the team can make an informed decision.

No. The audit is conducted at the UX layer. We work with the live product and, where useful, design files and analytics that you choose to share. We do not require access to model configurations, prompts, or backend systems unless you want to include them as part of a broader engagement.

The product is considered complete at launch, but digital products are never truly finished. We support improvements, updates, and feature expansions as your business evolves.

Yes. Part of our discovery process is building the business case — modeling the potential return on a better digital giving experience based on your current donor base, average gift, and retention rates.

We scope the update, build it on staging, run QA, review it with you, then deploy it to production. This process ensures changes are tested, stable, and aligned with the product roadmap.

Yes. We handle data migration, legacy system integrations, and the transition plan for communities who are moving from one platform to another.

Figma is our primary collaborative design platform. It’s where we build your product’s visual system, flows, and prototypes. You’ll have full access as designs evolve, giving you real-time visibility into every screen and interaction.

The smallest Goji Labs engagement is typically a 2-to-4 week discovery, audit, or strategy sprint scoped to deliver one specific outcome. These often serve as the first phase of a longer relationship.

Product strategy clarifies what you’re building, who it serves, and why it matters—before a single screen is designed. It reduces risk by aligning your business goals, user needs, and technical constraints into a clear plan. The result is a focused roadmap that ensures design and development time is invested where it creates real value.

Yes. We can scope work around a specific funnel — onboarding, checkout, upgrade, reactivation — or take a broader look at the full product experience. Most teams start with the highest-value funnel first.

Yes — in-app interventions are often more effective than out-of-app campaigns. We design retention mechanics that are native to the product experience rather than layered on top of it.

We define target metrics before design begins and validate prototypes with real users. Design decisions are tied to measurable outcomes, not aesthetic preference.

Goji Labs offers many hosting and maintenance solutions that are customized to fit your needs. Setting up a recurrent maintenance package guarantees that we have resources set aside for you at a reduced rate.

Enterprise engagements involve more stakeholders, longer decision cycles, and higher documentation, security, and compliance requirements. Startups prioritize speed and validation. Goji Labs adapts process to organizational maturity: more strategic framing and alignment for enterprises, faster iteration for early-stage teams.

Absolutely. Establishing the right product-to-revenue metrics is usually one of the first things we do. Most teams are tracking the wrong things or not tracking the right things with enough granularity.

We’ll ask about your business goals, success metrics, users, existing assets, technical requirements, and any constraints or timelines. The more clarity you bring early, the more efficiently we can move through design and development.

Yes. We can scope onboarding optimization as part of a broader product redesign or as a focused sprint that runs in parallel. The two inform each other — what we learn in onboarding research often has implications for the broader product experience.

Yes. We embed alongside your team, not instead of it. We can lead the process, work in parallel, or advise — depending on what your team needs.

Goji Labs made the Inc. 5000 list of fastest-growing private companies in America for 3 years in a row, and has been named the top-reviewed UX agency in Los Angeles by The Manifest. We hold a top 1% Clutch rating among digital product agencies and were recognized in the 2024 New York Product Design Awards.

In-house makes sense when you have an established ML team and a long AI roadmap. An agency like Goji Labs makes sense when you need to move fast, validate before hiring, or build AI capability without committing to a full internal team. Many clients use Goji to ship the first production version, then hand off ongoing work to their internal team.

By aligning product features with customer behavior and revenue drivers.

Most digital products are never truly finished. Clients return because launches are followed by feature expansion, optimization, and adaptation as the business evolves, and Goji Labs’s maintenance, post-launch support, and AI Optimization engagements are built for that ongoing work.

Open-source libraries have been tested at scale by thousands of developers, reducing risk and development time. They allow us to focus on building the unique parts of your product—where innovation and differentiation matter most.

Yes. Most of our validation engagements flow into a build engagement. The brief and validated UX concepts we produce in validation become the foundation for the build — so there’s no repeated discovery.

Yes. We have experience coordinating with EHR vendor professional services teams, navigating their developer programs, and building to their API specifications.

Yes. We often help teams improve UX, increase retention, and scale existing products without starting from scratch.

No. We can support long-term or help transition knowledge internally.

Yes. We can lead the effort or collaborate with your internal team to extend, improve, or rebuild existing systems.

Yes. We help teams monitor performance, fix issues, and continue improving the product based on real user data.

Yes. We help maintain, optimize, and evolve your software based on performance data and changing business needs.

We design for fallibility from the start, not as an afterthought. Every AI feature we build includes output confidence signaling, graceful degradation when the model is uncertain, and UX that makes it easy for users to correct or override the AI without friction. We also instrument acceptance and edit rates from launch, so the team can see in real time how often users are trusting, modifying, or ignoring AI outputs, and respond accordingly.

Pre-launch is actually the most cost-effective time to do this. Fixing expectation calibration copy, error handling patterns, and response framing before users experience them costs a fraction of addressing them after drop-off data shows the damage. We can run the audit against staging environments, prototypes, or early builds.

We build to WCAG 2.1 AA standards at minimum and go beyond that when your audience requires it. Accessibility is not an afterthought — it’s part of our design process from the beginning.

Yes—custom solutions connect seamlessly with in-store and online tools.

Development translates design into a working product. We build features, implement functionality, integrate APIs, test components, and share progress weekly. You’ll be able to review each step as the product comes together.

Your Project Manager will provide an estimate for the update and get approval from you prior to implementing a change. The rate will depend on if we use hours from your maintenance package or if you decide to pay for additional hours of time.

Both, depending on the use case. Most AI products are best served by integrating leading foundation models from OpenAI, Anthropic, or Google through APIs, then layering RAG, prompt design, and orchestration on top. Custom or fine-tuned models are reserved for cases where accuracy, latency, cost, or data sovereignty genuinely require it.

Yes. We can build and document a component library your team can own and extend — including handoff guidelines and governance recommendations.

We scope validation engagements for new features, product pivots, and new market expansions — not just greenfield concepts. The methodology adapts to your specific set of open questions.

We use Go for backend development because it helps us build fast, dependable products that can grow with our clients’ needs. It delivers strong performance without adding unnecessary complexity, which means the systems we build are easier to maintain, improve, and scale over time.

We design clinical workflows with staff input from the beginning and create rollout plans that include training materials and phased adoption milestones. Adoption is treated as a design problem, not an afterthought.

Goji Labs has built products for clients including KCRW, WWF, the World Health Organization (WHO), Mural, Animoca Brands, PredictionStrike, k-ID, Hard Assets Alliance, the Educated Choices Program, BYOU, TGS, Gaido, Kabata, Fitness Pact, Wayfarer, and ADAK.

Yes. Goji Labs provides fractional product leadership for companies that need senior product judgment without committing to a full-time hire, paired with the design and engineering capability to ship the work.

Yes. Subscription retention has specific dynamics — trial length, billing moment, cancel flow design, and pricing page optimization — that we have deep experience with.

Goji Labs engagements typically range from $50,000 to $1,000,000, depending on scope, complexity, and the level of strategy required. Smaller focused engagements such as audits, strategy sprints, or AI Strategy & Opportunity Mapping start at lower price points. We provide a clear estimate after a discovery call.

Our work is designed to deliver strategic, measurable outcomes—not just polished interfaces. That includes improved user experience, clearer product direction, reduced complexity, stronger adoption, and digital products that support your business goals long after launch.

We work across a wide range of stacks — mobile (iOS, Android, React Native), web (React, Angular, Vue), and backend (Node, Python, Ruby, PHP, .NET). We’ll assess fit during initial conversations.

Yes. For enterprise engagements, Goji Labs attends steering committees, provides weekly status reporting, and supports change-management workflows that bring internal stakeholders along with the project.

We define success metrics before any design work begins — typically activation rate, D7 retention, and (for SaaS) trial-to-paid conversion. We establish baseline measurements and measure against them after each change, so results are attributable, not assumed.

Both, depending on what you need. We can embed with your existing product and design team or operate independently and hand off. We’ll clarify roles at the start of engagement.

Yes. We’ve designed giving experiences that support employer matching, donor-advised fund giving via Chariot, and campaign-specific matching gift mechanics.

Usability testing evaluates prototypes with real users to validate whether the design is intuitive and functional. It helps identify friction early—before development—saving time, effort, and cost down the line.

Yes, that’s a design requirement, not a bonus. We document the AI architecture, model versioning practices, and prompt management approach as part of the engagement. We conduct a structured handoff that covers how to monitor output quality, what signals indicate a model needs to be updated or retested, and how to make prompt changes safely. We build assuming the team will own this indefinitely without us.

You receive a written audit report with scored findings across each evaluation area, a prioritized fix list with effort-impact mapping, a readout session where we walk your team through the findings, and a baseline measurement framework you can use to track UX quality over time. The format is designed for immediate use. It is not a research document, but a sprint-ready action plan.

If you have significant market evidence already (strong waitlist, letters of intent, paying users asking for the feature), a full validation sprint may be overkill. We’ll tell you honestly if we think you should move straight to build.

Goji Labs uses a blended-rate, time-and-materials model for most engagements because product work involves discovery and iteration that fixed bids tend to penalize. For tightly scoped deliverables like audits or strategy sprints, we can structure fixed-fee pricing.

Yes. Goji Labs’s product strategy work includes go-to-market positioning, customer segmentation, pricing strategy, and launch planning where relevant. We do not replace a dedicated marketing agency, but we ensure the product is built to support the GTM motion the business is pursuing.

Clear design creates faster checkout, better loyalty engagement, and higher conversions.

We treat accuracy as a system property, not a model property. Goji Labs designs evaluation frameworks, validation layers, structured data connections, and user feedback loops that improve outputs over time. AI Optimization & Continuous Improvement is a dedicated service for monitoring production performance, refining prompts, and expanding capability.

Yes. For clients who need ongoing capacity rather than a defined project, Goji Labs provides dedicated development teams that operate as an extension of the client’s internal team, with team composition tailored to the work.

User research helps us understand your users’ needs, motivations, and behaviors before designing solutions. This data drives more intuitive experiences, reduces redesign costs, and improves product performance after launch.

We move through structured phases: discovery, design, development, QA, launch, and post-launch optimization. Each phase is collaborative and transparent, ensuring that what we build is aligned with the strategic direction established at the start.

Yes. Goji Labs is headquartered in Los Angeles, California, contracts under US legal frameworks, and works primarily in US time zones.

In most cases, yes. Many high-value AI features, intelligent suggestions, workflow automation, document drafting, don’t require large volumes of proprietary training data. They rely on well-designed prompts, strong model selection, and thoughtful UX. Where proprietary data does become valuable is in fine-tuning and evaluation, and we help teams start capturing the right signals from day one so that advantage builds over time.

Yes. Many clients move from the audit directly into a design engagement where Goji implements the highest-priority fixes, whether that’s redesigning error flows, restructuring response surfaces, or building expectation-setting UX throughout the onboarding experience. The audit creates the roadmap, and the implementation engagement brings it to life.

Design establishes the visual and experiential foundation for your product. It eliminates ambiguity, aligns teams, and ensures the end experience is cohesive and user-friendly. Once the design is approved, development executes it exactly as shown.

A typical Goji Labs team includes a product strategist, UX designer, project manager, and one to several engineers. Larger engagements add specialized roles such as AI engineers, mobile developers, or QA specialists, and every project is led by a senior team member as the client’s single point of accountability.

Trust in AI is a UX problem more often than a model problem. Goji Labs designs interaction patterns that set clear expectations, communicate uncertainty, surface explainable outputs, and incorporate human-in-the-loop checkpoints where appropriate. Users should always understand what the system will do next and how to correct it when it is wrong.

Yes. AI Strategy & Opportunity Mapping is a 2-to-4 week engagement designed for this question. The deliverable is a prioritized roadmap of what to build, in what order, and what not to build at all.

Yes. Goji Labs handles brand identity and visual design as part of product engagements where needed, including design systems, logo and brand mark development, typography, and visual language. The work is integrated with product UX so brand and experience stay coherent.

We scope research to fit the decision it needs to inform. For early-stage products, that means rapid discovery sprints and lightweight user interviews; for mature products, structured research, competitive analysis, and analytics review. We invest in research where it materially reduces risk, not as a default checkbox.