Package-select conversion is falling while the evidence points to different causes.
Fast anomaly detection protects the weekly decision cycle, while verified cohorts protect the team from acting on a false signal.
Who you’d be doing this for
“I got approved, then I opened the options again and still wasn’t sure what I was paying for.”
Thalia Gomes · Approved life insurance applicant
She has completed the application and is deciding among available policy packages before purchase.
What is at stake
Package-select conversion is falling, but the initial AI analysis used an invalid shopper cohort. You must weigh earlier anomaly flags against the review needed to trust what they claim.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- faster anomaly detection vs. trustworthy cohort logic
- PM autonomy vs. AI-generated recommendations
- weekly decision speed vs. review capacity
- conversion urgency vs. disclosure clarity
Why Ethos
The direct checkout flow turns an approved life insurance shopper into an activated policyholder, so unreliable conversion evidence delays the changes that keep purchase simple.
Written with these in mind
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This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.