Customer Discovery Results
Aggregated insights, comprehensive analytics charts, and anonymized interview records from 70 verified fitness customer discovery sessions.
Aggregate Analytics & Distributions
Interviews Completed
Monthly interview volume across campaign timeline
Age Distribution
Respondent breakdown by age bracket
Current Exercise Habits
Do respondents exercise regularly?
Interest in an AI Coach
Would an AI coach be valuable? (Q3)
Most Requested Features
Feature selection breakdown (Q4)
Willingness to Pay
Would respondents pay if app solved problems? (Q5)
Research Methodology & Questions Asked
Each discovery interview followed a standardized questionnaire evaluating baseline exercise habits, fitness and dieting challenges, AI coaching value, specific feature prioritization, and willingness to pay.
Do you currently exercise regularly?
Do you find regular fitness and dieting challenging?
Would an AI coach that generates your workouts, meals, and grocery list be valuable to you?
Which feature interests you the most? (Weekly analysis, AI meals, AI grocery, water intake, accountability coach)
Would you pay for an app like this if it solved these problems?
Anonymized Interview Records
Showing 70 Verified RecordsBrowse the complete set of 70 anonymized interview submissions. Personal identifiers have been removed to protect participant privacy while preserving exact research metrics.