The setting
runs an . Consumers use it to compare, apply for, buy, and manage policies issued by outside insurance carriers.
The referral placement locks in spending before incremental demand is settled.
Partnerships protects access to new shoppers, while Finance protects cash and the contribution from applicants already arriving directly.
Who you’d be doing this for
“I filled it out on Sunday, then followed the link from my bank. Now I'm getting two calls about the same application.”
Sander Stewart · Life insurance applicant · a character in this brief
Started an application directly, then returned through a partner referral and now appears in both demand estimates.
What is at stake
A $900,000 referral commitment counts some existing applicants as new demand. You must weigh access to more shoppers against locked spending and follow-up capacity taken from direct applicants.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- distribution access vs fixed cash exposure
- partner referrals vs direct applicant capacity
- early conversion evidence vs immature persistence
- signature speed vs defensible incrementality
Why Ethos
Digital partnerships and the direct purchase funnel draw on the same follow-up capacity, so referral growth changes the economics of both.
Written with these in mind
Not your kind of problem? 36 more at Ethos, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Ethos. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Director, Strategy & Operations, Consumer (opens in a new tab)
- Rigorously assess new opportunities: build business cases, model unit economics (CAC, LTV, payback, contribution margin), and make data-driven go/no-go recommendations.
- Lead critical cross-functional projects that span Product, Engineering, Marketing, Sales, and Partnerships to deliver business growth.
- Sales Strategy & Operations Manager (opens in a new tab)
- You will be a key tactical member of the team, providing insights and analysis to guide our day-to-day decisions along with driving multiple projects that support rapid revenue growth and scalability of our operations.
- Strategy & Operations Manager (opens in a new tab)
- Support the identification and prioritization of growth opportunities across our expanding product portfolio (term life, IUL, estate planning), the customer lifecycle (acquisition, retention, cross-sell), and multiple channels (organic, performance, paid social, TV, partnerships, referrals).
- Own and drive defined growth projects from concept to completion, working closely with functional leaders.
- Senior Manager, Distribution & Revenue Strategy (opens in a new tab)
- Digital Partnerships Vertical – Help lead Ethos’s digital partner relationships (Liberty Mutual, Credit Karma, SoFi, and others), owning launch execution, ongoing performance management, and expansion strategy.
- Distribution Strategy, Growth & Operations – Serve as a key strategic partner to Partnerships Leadership, ensuring high-priority, time-sensitive initiatives (often with ambiguous scope and compressed timelines) are executed effectively.
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.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these is about betting growth on an outside partner or launch.
A partner expansion locks in $180,000 while leaders dispute what fulfillment really costs.
You must weigh preserving 12 markets against signing a service promise that verified economics may not support.
A software partner’s $9 million Messaging renewal expires tomorrow amid disputed forecasts.
You must weigh retaining its full commitment against signing away the ability to recover rising carrier costs.
A fitness merchant's $300,000 campaign rests on a sales promise its evidence no longer supports.
You must weigh a seasonal acquisition opportunity against an irreversible media purchase and a guarantee finance will not cover.
The same setting, from another role
Each is set around Ethos’s Direct-to-Consumer Digital Life Insurance, written for a different role. They’re separate briefs, not the same scenario.
Policy servicing specialists keep swapping shifts after schedules publish, despite submitting availability on time.
You decide whether AI may rebalance uncontested shifts or must leave those changes for the manager alongside explicit conflicts.
A tuned rule has issued approvals that may exceed carrier guidance, and every new decision increases the review burden.
You must weigh instant-decision speed against a disposition path that remains defensible after issuance.
Audited occupational-hazard files are missing the rationale that supports otherwise reasonable decisions.
You have to weigh a stronger documentation control against the turnaround time applicants experience.
Other problems with a similar purpose
In each of these, as in this one, the aim is to make an ambitious commitment financially and operationally sound enough to hold up under later scrutiny.
Two weeks before the committed control date, 14% of export events in scope cannot be classified either way.
You have to weigh broken analytics against the promise you made to a regulator and a customer.
A signed contract exposes up to $4.8M in annual service credits, and the reserve is due before the customer goes live.
You weigh machine-generated evidence against a wider scenario range, and the terms hold for the year.
Fourteen of 180 reviewed benefit-change contacts did not match the current eligibility record.
You have to weigh a four-week go-live against an architecture that cannot cheaply be reversed.