Start with customer evidence
Bring calls, tickets, research, and existing ideas into the same product workspace.
Customer feedback to specs
Carry what customers teach you into a brief engineers and AI agents can use. Keep the sources, scope, and open questions in view.
Reports block customer reviews
Northstar
$640K
renewal risk
Harbor
$420K
review blocked
Preserve report state
Filters and exports stay visible.
92
Medium
Evidence pulse
last 7D
Ready to promote
Accounts and review checks attached.
Reports block customer reviews
Northstar
$640K
renewal risk
Preserve report state
Filters and exports stay visible.
92
Medium
How it works
Find the need, compare ideas, and test assumptions. Keep what the team learns with the work it chooses to build.
Bring calls, tickets, research, and existing ideas into the same product workspace.
Review recurring problems and rank ideas against the evidence. Your team chooses what to investigate.
Use customer tests to revise the idea. Carry the findings, constraints, and acceptance criteria into a reviewed brief.
Engineers and AI agents can inspect the customer evidence, scope, and decisions behind the work.
Review reports are ready for implementation
Evidence
12 linked mentions
Opportunity
Impact + constraints
Build handoff
Scope, rules, checks
Implementation brief
Intent
Preserve report filters
Checks
Keep source links
Scope
Use known states
Runbook
Evidence into scope
Follow the brief back to customer evidence and team decisions. Check the scope and acceptance criteria before building.
What travels with the work
Customer evidence
Calls, tickets, and research remain linked to the problem and the chosen idea.
Product decision
The team can recover the choice, its reasons, and the alternatives it considered.
Build-ready scope
The reviewed brief carries requirements, acceptance criteria, constraints, and open questions.
Delivery handoff
Builders can use the brief and inspect its sources through the connected tools your team chooses.
Next step
Find the requests behind the change. Your team decides who to contact, reviews the response and available outcome data, and chooses what to improve next.