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This is the kind of question where I spent too long on diagnosis and ran out of time before getting to concrete solutions.
Start by clarifying the metrics and segmenting the user base to identify where the drop-off occurs. Then, hypothesize root causes using a funnel analysis and prioritize improvements based on impact and effort. Finally, propose a structured 15-day plan with quick experiments to validate and iterate.
Pro tip: Anchor your diagnosis in the 'aha moment'—the point where users first experience the tool's core value—and design your 15-day plan to accelerate time-to-value for new users.
Define return rate, sign-up volume, and daily active usage precisely, and segment users by acquisition channel, persona, and initial behavior to spot patterns.
Create a funnel from sign-up to first key action (e.g., creating a project, inviting a teammate) and pinpoint where users disengage.
Brainstorm potential root causes (e.g., onboarding friction, lack of templates, unclear value prop) and prioritize based on data, impact, and ease of testing.
Within 15 days, launch low-effort experiments such as improved onboarding emails, in-app guides, or simplified sign-up flows to test hypotheses.
Track experiment results against target metrics, double down on what works, and set up a cadence for continuous improvement.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.