The setting
runs an . Consumers use it to compare, apply for, buy, and manage policies issued by outside insurance carriers.
Interest in AI-referred acquisition is ahead of agreement on what would justify a test.
A fast decision protects the planning window, while comparable economic hurdles protect scarce engineering capacity.
Who you’d be doing this for
“The agent asked how I found the site. I said search, then remembered I'd first asked an AI tool about term life.”
Blanca Navarro · Life insurance applicant · a character in this brief
Researches coverage with AI before visiting the website and speaking with a licensed agent.
What is at stake
Consumer leaders have six ideas for AI-referred acquisition, but four lack a test for additional applicants. You must weigh a dedicated decision cycle against using quarterly planning to protect scarce engineering capacity.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- early learning vs comparable business cases
- new opportunities vs committed delivery capacity
- source attribution vs the applicant's actual journey
- dedicated decisions vs one quarterly planning forum
Why Ethos
Salesforce captures applicant activity, but AI research in conversation notes does not establish whether a proposed acquisition source adds business.
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)
- Identify and prioritize growth opportunities across three dimensions: an expanding portfolio of products (term life, IUL, estate planning), the full customer lifecycle (acquisition, retention, cross-sell), and multiple channels from organic and performance engines to paid social, TV, partnerships, and referrals.
- Genuinely AI-native — you are at the cutting edge of experimenting with AI, whether in your personal life or at work, and constantly pushing the boundaries of what's possible.
- Sales Strategy & Operations Manager (opens in a new tab)
- Drive end to end initiatives aligned with the strategic quarterly goals of the Revenue Org and the company, support strategic projects working internally and cross functionally.
- Turn quantitative analysis and qualitative feedback into actionable insights across the business to improve our processes and strategy
- Strategy & Operations Manager (opens in a new tab)
- You’ll also work with teams across the company to experiment with AI and apply it where it can move key business metrics.
- You actively experiment with AI tools, at work or in your personal life, to work faster and sharper, and you share what you learn with others.
- Senior Manager, Distribution & Revenue Strategy (opens in a new tab)
- This role sits at the intersection of strategy, revenue & distribution, strategic finance, and operations - partnering directly with cross-functional leadership to scale our Partnerships business.
- Strategic Finance & Analytics – Deliver ad hoc analyses supporting the Partnerships business unit that require advanced financial modeling.
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 figuring out which problem is actually worth solving.
Opening Soon strategists are drawing different next-test conclusions from the same LinkedIn results.
You must decide what AI recommends, what evidence it cites, and where strategist judgment remains required.
Large fleet buyers want combined evaluations, while 12 proposed experiments compete for specialist time.
You must weigh a new joint forum against letting product leaders select experiments separately.
Growth strategists found overlapping audiences in five of 12 briefs for first-payment campaigns.
You decide whether AI proposes membership directly or proposes criteria for a strategist to approve before the system builds the audience.
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 turn conflicting market signals into a focused growth bet without pretending uncertainty has disappeared.
Employers need evidence that subsidized memberships produce ongoing health engagement, not unopened devices.
You must weigh a test that is useful to benefits leaders against claims and measurement the evidence can support.
Late-trip travelers leave available hotel rooms to compare cancellation terms on other sites.
You have to weigh incremental hotel demand against booking shifts from comparable homes.
Programmatic buyers are spending through the Carrot Ads API but do not have a clear route into repeat self-serve campaigns.
You have to weigh a fast expansion motion against claims that brand finance teams can defend.
