Team 8: Interviewing + Competitive Analysis + Secondary Research

Overall Insights

  • People want guidance, not graphs

 

Casual and even savvy users feel flooded by HRV/RHR/sleep stages and prefer a single, plain-English nudge (“Go easy today” / “You’re ready to push”). They also want the “why” in one line (e.g., “Low HRV + short sleep requires active recovery”). From this, we can potentially have a daily one-sentence coach with a short why, not a dashboard. Make it override-friendly (“I’m running anyway” option) so it feels like permission, not policing you to exercise.

  • Trust depends on accuracy + personalization

 

Heavy lifters and runners distrust generic thresholds (“everyone’s different”) and are fuzzy on HRV’s meaning. They judge accuracy by lived effects (sleep vs. soreness vs. stress) and by obvious misses (e.g., stroller steps, odd readiness after 5h sleep). We can aim to calibrate to the individual (learn their baselines), reflect real-world causes (“late meal/alcohol likely lowered HRV”), and own limits transparently. Confidence/uncertainty labels will help trust.

  • Motivation is split by optimize vs. feel good

 

Enthusiasts track progress and have more goals, casuals work out for mental clarity and won’t chase numbers or log much. Many casual athletes say they’d use something only if it’s ultra-low-effort and conversational. From this, we have two potential UX lanes: (A) “Coach me with one tap” for casuals, (B) “Show me drivers & trends” for enthusiasts. Keep logging optional; infer when possible.

  • “Recovery” resonates when framed as energy management tied to today’s plan

 

Users differentiate “tired” vs. “recovered,” and want the app to translate that into what to do now (swap to easy jog, stretch, rest) and to adapt to social plans (“still running with a friend? go easy”). We can aim to connect readiness with a suggested exercise session type (push/easy/rest) and offer context toggles (meeting a friend, travel day, poor sleep) to make advice feel human and actionable.

 

Competitive Analysis: https://docs.google.com/document/d/1kRfjltLVyec6c_JQd84hFzdSIWJYQlJlci2YMw2YLFg/edit?tab=t.0

Customer Interviewing: https://docs.google.com/document/d/1kRfjltLVyec6c_JQd84hFzdSIWJYQlJlci2YMw2YLFg/edit?tab=t.8igl0a3qyaj2

Secondary Research: https://docs.google.com/document/d/1kRfjltLVyec6c_JQd84hFzdSIWJYQlJlci2YMw2YLFg/edit?tab=t.e19di8tnc5wy

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