Frequently Asked Questions.

A practical guide to how we plan, design, build, launch, and support digital products with our clients.

FAQ

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How long does a typical project take?
Timeline depends on scope, integrations, design readiness, and how quickly decisions can be made. A focused MVP or website can often move in weeks, while a custom platform with roles, payments, dashboards, and integrations may take several months. We define phases early so you can see what will be delivered first and what can wait.
How do you approach pricing?
We price projects based on scope, complexity, team involvement, timeline, and support needs. When the scope is clear, we can prepare a project estimate. When the scope is still forming, we recommend a discovery phase first so the budget is tied to a realistic plan rather than assumptions.
Can you build an MVP?
Yes. We help define the smallest version that can create real learning or business value. An MVP should not be a rough collection of features; it should be a focused product with the right user journey, technical foundation, and feedback loop for the next iteration.
How does your mobile app process work?
We start by clarifying the product goal, target users, required device features, backend needs, and release constraints. Then we shape the MVP, design the main flows, build in increments, test on relevant devices, and support store submission for iOS and Android when needed.
What is your UI/UX workflow?
We begin with goals, users, existing pain points, and the tasks the interface must support. From there we map flows, create wireframes, design high-fidelity screens, prepare responsive states, and document details for development. Feedback and iteration are built into the process.
Do you provide maintenance and support?
Yes. Support can include bug fixes, small improvements, dependency updates, performance checks, deployment assistance, and product iteration. We usually define the support model after launch because needs vary by product and team.
Which technology stack do you use?
We choose technology based on the product, team, integrations, budget, and long-term maintenance needs. Recent work has included React, Next.js, TypeScript, Node.js, NestJS, PostgreSQL, Redis, Docker, AWS, Figma, and Miro, but the stack is never chosen in isolation from the project context.
How do we communicate during a project?
We keep communication structured and visible. Depending on the project, this may include kickoff meetings, weekly check-ins, shared task boards, demo sessions, written decision notes, and direct communication for urgent topics. The goal is to avoid surprises and keep priorities clear.
Do you work with startups and enterprises?
Yes. Startups often need speed, MVP focus, and product clarity. Larger organizations usually need stronger planning, stakeholder alignment, compliance awareness, and integration work. We adapt the process without losing the essentials: clear scope, visible progress, and maintainable delivery.
How do revisions and iterations work?
We plan review points into the project. Early feedback is especially valuable because it reduces rework later. For design and product flows, we iterate around user tasks and business goals. For development, we prioritize changes by impact, dependency, and delivery risk.
Do you consider SEO and performance?
Yes, especially for websites and public-facing web products. We look at technical SEO basics, metadata, heading structure, responsive behavior, page speed, accessibility basics, and deployment setup. For deeper SEO strategy or content planning, we can collaborate with your content or marketing team.
Can you handle hosting and deployment?
We can help plan and set up deployment for static websites, web applications, APIs, databases, and supporting services. The right hosting choice depends on product architecture, traffic expectations, team ownership, budget, and monitoring needs.
Who owns the source code?
You own the source code and project assets created for your product. We can also organize repositories, access, documentation, and deployment credentials so ownership is practical, not just contractual.
What happens after launch?
After launch, we monitor the first feedback, resolve priority issues, and help plan the next improvements. Some clients continue with a support agreement; others prefer a handover and return when they are ready for the next phase.
How do you protect company data in AI applications?
We review data sources, access permissions, retention policies, and model-provider terms at the start of the application design. We plan workflows that minimize sensitive data, apply masking where needed, enforce access controls, and keep useful audit records. The right approach depends on the nature of the data and your organization’s security requirements.
How do you measure the quality of AI outputs?
We begin with an evaluation set and acceptance criteria based on the actual use case. Accuracy is not the only measure: we also track missing or incorrect answers, latency, cost, user feedback, and safety boundaries. This lets us compare model or prompt changes with repeatable evidence rather than intuition alone.
How is the maintenance support model defined?
We shape the support plan around product criticality, the current issue backlog, expected response times, and the amount of monthly improvement work. After an initial review, we agree on priorities, communication channels, delivery rhythm, and reporting. The model can evolve as the product’s needs change.
Can you take over a project built by another team?
Yes. We first review the codebase, environments, access, dependencies, release process, and known issues. We then share a handover plan covering critical risks, missing documentation, and quick wins. Our first goal is to understand the system well enough to make changes safely and visibly.