Hypothesis Validation

Do our three product pillars hold up against the data? Each pillar tested with statistical correlation (Spearman ρ for ordinal scales) and qualitative evidence from open-text responses.

Scorecard

All three pillars statistically confirmed. Priority clarity shows the strongest effect — plan completion drops from % to % when difficulty is high (−pp). The pillars cascade: priority struggles drive overwhelm (ρ=), and overwhelm drives lower completion (ρ=). Fixing priorities may unlock gains across all three.

Surprise: tool count has zero correlation with overwhelm (ρ=), yet integration demand dominates qualitative responses. The pain isn't how many tools — it's that they don't connect.

Priorities

% → % plan completion when priority difficulty is low vs high (n=/)

ρ = · % of blocker mentions

Follow-Through

% → % plan completion when overcommit is rare vs frequent (n=/)

ρ = · % of blocker mentions

Energy

% → % plan completion when overwhelm is rare vs frequent (n=/)

ρ = · % of blocker mentions

Market Map Bridge

How do pillar scores differ across market segments? Painkiller customers (composite pain ≥ 4) should score worse on pillar indicators if the framework is valid.

1. Priorities

Does difficulty prioritizing predict lower plan completion?

Priority Difficulty × Plan Completion

ρ = · · N=

What People Say: Priority Blockers

of blocker mentions (%)

2. Follow-Through

Does overcommitting predict lower plan completion? Does needing external pressure correlate with overcommitting?

Overcommit Frequency × Plan Completion

ρ = · · N=

What People Say: Strategies That Work vs Fail

working mentions · failed mentions

Supporting: External Pressure × Overcommit — ρ = ()

3. Energy

Does overwhelm predict lower plan completion? What drains energy — and is tool count really the driver?

Overwhelm Frequency × Plan Completion

ρ = · · N=

What Drains People

Individual drain types (combos split) · mentions

Mean Overwhelm by Drain Type

Higher = more overwhelmed (1–5 scale) · min N ≥ 3

Supporting: Tool Count ≠ Overwhelm — ρ = ( · N=). More tools alone doesn't predict more overwhelm. Yet respondents consistently ask for integration and consolidation — the pain isn't tool count, it's tools that don't talk to each other.

Cross-Pillar Independence

Are the three pillars independent problems, or do they cluster? If correlated, fixing one may cascade to others.

What to Build First

Pillar ranking by combined statistical and qualitative evidence strength.