Audience Comparison
The audience deep-dive engine. Pick a dimension, compare groups across outcomes, blockers, strategies, burnout risk, and fix preferences. Every chart answers: what makes this group different — and what should you build for them?
Group Sizes
Metric Profiles
Mean scores with 95% bootstrap CIs. Dashed line = overall baseline. Non-overlapping CIs indicate reliable group differences.
Outcome Impact vs Baseline
How far each group deviates from the overall baseline on key metrics. Larger deviations = more distinctive audience.
Pain Segment Mix
How the Painkiller / Mixed / Vitamin split varies across groups.
Biggest Differences
Metrics ranked by the gap between the highest and lowest group means.
Blocker Fingerprint
Which execution blockers dominate each group? LLM-extracted from Q13 open text (confidence ≥ 0.5). Normalized to % within group for fair comparison despite different group sizes.
Energy & Fix Preferences
What capacity is depleted (energy dimension) and what kind of fix each group wants. Tool/system fixers = natural buyers. Behavioral/mindset = may not buy software.
Strategy Landscape
Working vs failed strategies by group. Positive net = more people succeed. Negative = more abandoned. If a strategy works for one group but fails for another — that's a product segmentation signal.
Strategy Reliance by Group
How each group tries to follow through. Tool-reliant = natural early adopters. Habit-reliant = need habit reinforcement. Social = need accountability features.
Burnout Profile Overlay
How burnout severity distributes across groups. If one audience has 2× the Full Burnout rate — they're the most urgent customers.
Product Implications
What to build for each group. Synthesized from blockers, energy dimension, fix preference, and burnout severity.
Quote Bank
Verbatim responses from each group — what blocks them (Q13), what they'd fix (Q15), and what strategies work (Q8). Click a row for the full respondent profile.