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The Gaps Between Your Idea and a Buildable Scope
A second pattern has become just as common. A founder or product lead has already generated a working prototype using an AI coding tool; it has real users, and now someone needs to decide whether the underlying architecture can actually scale or pass a security review before more gets built on top of it.
No shared definition of what the release needs to achieve, so every stakeholder is optimizing for something slightly different.
Requirements that surface mid-sprint instead of before estimation, each one reopening the budget conversation.
Vibe-coded MVPs that work in a demo but were never reviewed for data architecture, integration debt, or production security.
Tech stack and architecture choices made verbally, never written down, so switching teams later means re-discovering the whole system.
No team composition or delivery plan attached to the roadmap, so staffing becomes a guess instead of a plan.
Ready to Scope Before You Build?
Get a senior architect on your project before the first sprint gets estimated, not after.
Book a Free 30-Min CallWhat's Included in Our Project Discovery Services
A proper discovery engagement produces documents your team can actually build from, not a slide deck that gets skimmed once and archived.
Business Goal and Success Metric Alignment
We work with your stakeholders to pin down what the release needs to achieve and how you’ll measure it, before any feature list gets written.
Technical Requirements and API Contracts
Functional and non-functional requirements documented in enough detail that engineers can estimate against them without guessing at edge cases.
Architecture and Tech Stack Options
We map two or three viable architectures against your constraints, covering technology architecture consulting considerations like integration debt and vendor lock-in, then recommend one.
AI-Generated Code and Prototype Review
If you’re starting from a vibe-coded MVP, we audit it for data model soundness, security gaps, and what can survive into production versus what needs a rebuild.
UX Direction and Clickable Wireframes
Key user journeys mapped and wireframed so stakeholders can react to something concrete instead of a written description.
Risk, Feasibility, and Scope Boundaries
A documented list of what’s in and out of the first release, plus the technical risks most likely to blow the timeline.
Industry-Specific Discovery for Complex Software
VIEW ALL INDUSTRIES ⟶What You Get From Our Project Discovery Services
Prioritized Backlog and Feature List
Requirements broken into what ships first, what waits, and why, written from the end user’s perspective.
Technical Architecture Diagram
Frontend, backend, data layer, and third-party integrations mapped out, including where an existing AI-generated prototype’s architecture needs to change.
Clickable Prototype
An interactive walkthrough built through our clickable prototyping process, ready to show investors or internal stakeholders before a line of production code exists.
Tech Stack Recommendation With Justification
Not just a list of tools. A written case for why each one fits your constraints, your team’s existing skills, and your integration needs.
Team Composition and Delivery Plan
Named roles, not job titles, for who would actually build this, along with the sprint cadence and cost that feeds directly into MVP development planning.
Cost and Timeline Estimate
A defensible range tied to the backlog and architecture, with assumptions documented so you can challenge any number in it.
Our Approach to Project Discovery
Stakeholder Alignment
We run structured sessions with your business and technical stakeholders to agree on goals, users, constraints, and what the first release actually needs to achieve. This step alone prevents most of the scope creep that shows up three sprints into a build.
Current-State and Workflow Audit
For an existing product, or an existing AI-generated prototype, we map what's already working, what's fragile, and what data or integration debt is hiding under the surface. For a greenfield idea, we validate the assumptions behind it before design work starts.
Requirements and Architecture Analysis
We document functional requirements, non-functional constraints like latency and uptime, and two or three viable system architectures, then walk through the tradeoffs with your technical stakeholders directly.
AI Research Synthesis and User Validation
We now run AI-assisted synthesis across interview transcripts and existing user data as a standard part of research, not an add-on, cutting the time between raw feedback and a usable pattern from weeks to days.
UX Direction and Prototyping
Key journeys get wireframed and built into a clickable prototype so stakeholders can react to something real instead of a written spec, catching usability issues before engineering time gets booked.
Roadmap, Estimate, and Handover
Everything gets converted into a phased roadmap, a team composition, and a cost range, delivered as a document set your existing team or ours can build from immediately.
Why Our Project Discovery Approach Is Different
Most discovery engagements end with a requirements document. Ours is designed to answer the harder questions: what should be built, what can be reused, what needs to change, and what will it take to deliver.
AI-Generated Prototype Audits
Already have a working prototype? We review the codebase for architectural weaknesses, security gaps, technical debt, and scalability concerns, then separate what is worth keeping from what needs to be rebuilt. When a critical assumption needs proving, we validate it through a proof-of-concept validation before further development spend is committed.
Discovery That Converts Into a Build SOW
The final discovery output can become the foundation for a detailed statement of work, with requirements, architecture, team composition, milestones, and estimates tied together. The senior architect involved in discovery can continue into delivery, so your build team starts with context instead of repeating the discovery process.
Named Architects Before You Sign
You know who will actually lead the engagement before work begins. The assigned architect and business analyst are introduced upfront, giving you visibility into the people responsible for turning your requirements into a build-ready plan.
Related Projects
Choose the Right Discovery Engagement for Your Project
Scoping Sprint
For a rough idea that needs direction fast. 1-2 weeks, one business analyst and one architect.
- Business goals and success criteria defined
- High-level architecture direction
Full Discovery Engagement
For teams ready to move into a funded build. 3-4 weeks, business analyst, architect, and UX designer.
- Complete requirements and wireframes
- Fixed-scope SOW ready for handoff
Discovery Plus AI Code Audit
For teams starting from an existing AI-generated prototype. 3-5 weeks, adds a senior architect-led code review.
- Full audit of existing prototype architecture
- Rebuild-vs-extend recommendation with cost impact
How Much Does Project Discovery Cost?
Most engagements run $6,000 to $18,000 depending on scope and whether an existing AI-generated prototype needs a full code audit.
Book a call, and we'll scope the range against your actual project.
Client Testimonials (We're Rated 4.7 on Clutch)
Why Choose Citrusbug for Project Discovery Services?
Good discovery depends on more than workshops and documentation. It requires technical judgment, clear ownership, and experience recognizing the risks that can change a project's cost or delivery path.
Source Code and Artifact Ownership
Every discovery deliverable, from requirements and wireframes to architecture diagrams and technical recommendations, is handed over to your team. You retain ownership of the work produced for your project without licensing restrictions.
Technical Delivery Experience
Discovery is shaped by engineers and architects who understand how software gets built, integrated, tested, secured, and maintained. Recommendations account for implementation effort, existing technical debt, third-party dependencies, and long-term ownership.
NDA by Default
Every discovery engagement starts under NDA. Your product concept, requirements, business information, and prototype code remain confidential throughout the engagement.
Cross-Industry Experience
Experience across healthcare, fintech, logistics, real estate, and other complex domains helps identify risks that generic discovery checklists can miss, from interoperability and compliance requirements to payment flows, third-party integrations, and role-based workflows.
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How long does project discovery take, and does that change if we're validating an AI-built prototype?
A standard discovery sprint runs 1-4 weeks. Adding an AI-generated code audit typically adds 1-2 weeks for the architecture and security review.
What exactly do we own at the end, and can we take it elsewhere?
Everything, including wireframes, architecture diagrams, and documentation. The outputs are built to brief another vendor if you choose not to continue with us.
Do you actually review AI-generated or vibe-coded code?
Yes. A senior architect audits the existing codebase for architecture soundness, security gaps, and technical debt before recommending rebuild versus extend.
What happens if discovery shows the original idea won't work as scoped?
You get honest options: simplify, phase the release, or change direction, backed by the specific technical reason. That's a better outcome than finding out mid-build.
Who's actually on the discovery team?
A business analyst and senior architect, with a UX designer added for the Full Discovery tier. You see their names before the engagement starts.
Does discovery come with a fixed development quote or just a range?
A defensible estimate range tied to the documented backlog and architecture, with assumptions stated so you can challenge specific line items.
What do you need from our team, and how much time will it take?
Expect 8-12 hours across stakeholder workshops and prototype reviews over the engagement. We keep touchpoints structured so your team isn't pulled into daily meetings.
Can the outputs plug into our existing in-house engineering team?
Yes. Documentation and architecture diagrams are written to brief an internal team directly, not just to justify continuing with Citrusbug.