Your domain experts know exactly what to build.
They just can’t tell you.
What they say
“We need a patient portal”
What they actually do
“I spend the first twenty minutes of every consult re‑asking questions the patient already answered on three different forms”
What they need
“Minimize the time to access a patient’s complete history at the point of care without redundant data collection”
From what they say — to what they need
Unearth what your
experts really know
AI‑powered interviews that go beyond feature requests to extract the real workflows, pain points, and requirements your team needs to build the right thing.
Scroll to dig
The best insights aren’t in surveys or workshops.
They’re in the stories no one thought to tell.
The process
From invitation to specification
Invite experts
Send a link to your domain experts. They click, verify their email, and start talking. No accounts, no onboarding, no friction.
AI interviews
Our agent conducts deep discovery interviews — reconstructing specific past events, not asking hypotheticals. It gets past what people think they do to what they actually do, using research-grade techniques adapted from the best human interviewers.
Confirm understanding
Experts see their knowledge rendered as workflow diagrams, force quadrants, and outcome cards. They confirm with Agree, Not Quite, or Wrong. The modifications are the most valuable data.
The full picture
The result isn’t a transcript or a slide deck. It’s a structured map of how work really happens — the steps, the pain points, the workarounds, the edge cases — confirmed by the people who do it every day.
Use cases
What becomes possible
Structured requirements, cross-expert patterns, and edge cases that would take months to extract manually — delivered in days, confirmed by the experts themselves.
Building software for accountants
What they say
“Accountants say they want better reporting”
What Unearth finds
Across 8 interviews, Unearth maps the full month-end close workflow — every step, handoff, and workaround. It surfaces that most errors originate at a single manual re-entry step nobody had documented.
The result
You ship a product that eliminates the actual bottleneck. Your competitors are still running surveys.
Scoping a healthcare platform
What they say
“Clinicians ask for a patient scheduling tool”
What Unearth finds
Interviews across three departments reveal scheduling is a symptom — the real breakdown is referral triage with no shared visibility. Cross-expert aggregation produces a confidence-scored priority matrix.
The result
You deliver a scoping document in days that would take six weeks of workshops — with evidence your client can verify.
Validating a legal-tech idea
What they say
“Lawyers say contract review takes too long”
What Unearth finds
Five interviews reveal the pain isn't review speed — it's tracking which clause variations were approved across dozens of similar deals. Unearth extracts undocumented workarounds that redefine the problem space entirely.
The result
You pivot before writing a line of code. Instead of a faster review tool, you build clause precedent intelligence. No competition.
Replacing a legacy ops platform
What they say
“Operations managers say they need a dashboard”
What Unearth finds
Interviews with staff across three departments reveal each team built parallel shadow processes in spreadsheets. The dashboard request masks a coordination problem nobody had named.
The result
You scope the real system — not a dashboard nobody would use. The project sponsor finally understands why the last rebuild failed.
What’s different
Built on research methodology,
not prompt engineering
Not a chatbot. A discovery engine.
Reconstructs specific past events with sensory detail — time, place, who was there, what happened. The agent never asks “Why?”, never accepts vague answers, and never lets solution-talk persist. It gets to the real story.
Solution → Problem
“I need a spreadsheet template” becomes “Minimize the time spent categorising 200 transactions monthly without automation.” Every solution someone describes is treated as a symptom — systematically unwound to the real underlying need.
Visual confirmation, not verbal playback.
Understanding isn’t read back as text. It’s rendered as workflow diagrams, force quadrants, and outcome cards. Experts confirm with Agree, Not Quite, or Wrong. The modifications — not the agreements — are the most valuable data.
Cross-expert intelligence
When multiple people describe the same pattern — even with different terminology — the system links them. Produces confidence-scored findings aggregated across all interviews, surfacing where people agree and where they contradict.
Stop guessing.
Start discovering.
Turn expert knowledge into structured requirements — automatically.
Start discovering →