One system for product discovery
A structured workflow for product discovery — from the first question to the final recommendation.
- ·Onboarding is too long or complex for trial users.
- ·Users don’t reach the “aha moment” before the trial expires.
- ·Pricing page creates friction immediately after setup.
- ·Funnel: 54% complete onboarding, only 21% return on day 2.
- ·Interviews: 5 of 8 mentioned confusion about what to do after setup.
- ·Support: top ticket category is “what’s next after onboarding.”
- ·Is the drop-off caused by unclear next steps or perceived low value?
- ·Do users who reach the core feature retain at a higher rate?
- ·Run a 5-user test focused on the first post-onboarding session.
- ·Analyze day-2 return rate segmented by features used on day 1.
- ·Review support tickets for mentions of “trial” or “next step.”
How TraceFox works
Start with the decision you need to make
Every workflow starts with a product question — not a blank prompt. Frame the uncertainty, attach context, and TraceFox structures the path forward.
Structure the investigation, don't just prompt
TraceFox breaks the question into what is known, what is assumed, and what needs validation — then builds a research plan to close the gaps.
Turn scattered inputs into structured insight
As evidence accumulates, TraceFox synthesizes across sources — extracting themes, flagging conflicts, and scoring confidence.
Produce outputs the team can use
TraceFox generates decision-ready artifacts — traceable, exportable documents your team can take straight into planning and prioritization.
Not a collection of features. A single system.
Requests generate evidence. Evidence feeds synthesis. Synthesis produces artifacts. And every artifact feeds back into your next investigation.
Context that compounds
Every finding, source, and artifact is stored and classified. When a new question arrives, TraceFox draws on everything the team has already learned — so discovery gets sharper the more you use it.