The problem, proof and engagement should match the decision you carry.
Pre-launch founder
Trials sign up. Almost nobody converts.
The problem isn’t your ads — it’s the moment they open the product and don’t know what to do next.
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You may be seeing:
- Signups pile up, but activation numbers barely move
- Users click around for a few minutes, then disappear
- The team keeps tweaking ads instead of the first-run experience
What you need instead:
- A mapped, tested activation flow
- An onboarding sequence built around the “aha” moment
- Clear visibility into where users drop off
Growth-stage product lead
Your dashboard needs a call to understand.
Data-dense doesn’t have to mean dense — it means nobody should need a meeting to read a chart.
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You may be seeing:
- Every dashboard read ends in a Slack thread of questions
- Stakeholders ask “what am I looking at” more than “what does this mean”
- Reports get exported to slides just to be explained
What you need instead:
- Dashboards that read in seconds, not meetings
- Visual hierarchy that surfaces the number that matters
- Self-explanatory data — no narration required
Scaling CTO
You shipped 40 features. Activation dropped.
More features means more ways to get lost — we cut the path back to value.
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You may be seeing:
- New features ship, but usage flatlines
- Support tickets rise as navigation gets more complex
- New users bounce before finding the core value
What you need instead:
- One clear path to core value
- A feature audit that cuts noise, not capability
- Information architecture that scales without adding friction
AI founder
Users don’t trust what your AI says.
Trust is a design problem before it’s a model problem — we design for it.
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You may be seeing:
- Users double-check every AI output before acting on it
- Support gets flooded with “is this right?” questions
- Adoption stalls even though the model performs well
What you need instead:
- UI that surfaces confidence, sources, and reasoning
- Clear affordances for correction and control
- Design patterns that build trust before the model has to earn it
Product leader
Every roadmap review turns into a re-explanation.
Alignment shouldn’t need a live walkthrough every single time.
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You may be seeing:
- Stakeholders align in the room, then diverge over Slack
- Roadmap docs need a live walkthrough to make sense
- Priorities shift each quarter without a clear rationale
What you need instead:
- A roadmap that explains itself
- Visual prioritization stakeholders can self-serve
- One shared source of truth across teams
Engineering leader
Every sprint ships, but nothing feels shipped.
Velocity looks fine on paper — the product still feels unfinished.
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You may be seeing:
- Devs build from specs that change mid-sprint
- Design and engineering rework the same screen twice
- Velocity looks fine, but the product still feels unfinished
What you need instead:
- Developer-ready specs before sprint starts
- A single source of design truth for engineering
- Fewer handoff cycles, faster ship-to-value