Personal Purchase-Confidence Officer
Opportunity Gaps
Ranked by opportunity scoreCertainty of fit before purchase
Currently provided: A generic size chart
Highest-frequency failure in the job, and the data required already exists inside returns records.
Honest disqualification — being told when not to buy
Currently provided: Nothing; every page sells
Almost entirely unclaimed, cheap to implement, and directly targets the trust failure that sends buyers to marketplaces.
Reviews from comparable buyers
Currently provided: Undifferentiated star ratings
Segmented reviews raise both functional confidence and social identification with minimal engineering.
A returns process that does not feel like punishment
Currently provided: Print a label and find a drop-off
High emotional intensity, but marketplaces already compete hard here — differentiation is narrow.
Committed delivery dates
Currently provided: Estimated ranges
Valuable but operationally expensive and already well served by the largest marketplaces.
The opportunity score is an unweighted average of the six factors. It is a strategic prioritisation model, not a statistically validated measure.
What We Still Don't Know
Validation plan| Assumption to validate | Why it matters | Recommended method |
|---|---|---|
| Fit uncertainty, not price, is the primary abandonment cause | It drives the entire roadmap ranking | Behavioural analytics on product-page exits plus exit surveys |
| Publishing return rates increases rather than suppresses conversion | It is counter-intuitive and reversible | Experimentation on a subset of categories |
| The social job materially affects category choice | Marked hypothesis throughout | Customer interviews and review mining |
| Comparable-buyer review filtering changes decisions | Requires review-schema investment | Experimentation with a filtered review module |
| Shoppers perceive marketplace returns as easier than ours | Shapes the returns investment case | Survey plus competitive research |