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    Challenge Library/Fixing a Stalled Funnel Before the Series B Data Room Closes

    Fixing a Stalled Funnel Before the Series B Data Room Closes

    growth marketing
    experimentation
    CAC/LTV
    B2C subscription
    Estimated Time:
    45 minutes
    Status:Not started

    What You'll Be Doing

    Description

    You're joining Loomis as their first Growth Marketing Lead. Loomis is a B2C subscription meal-planning app with 28,000 paying subscribers. The company is mid-raise for a Series B, and the CEO has told you directly: "Investors are going to look hard at our trial-to-paid conversion rate. I need it visibly moving before the data room closes in 8 weeks."

    The channel & funnel data:

    Channel% of Monthly Ad BudgetCACLTVTrial → Paid Conversion
    Paid Social55%$62$18011%
    Paid Search30%$54$21014%
    Organic / Content10%$18$16519%
    Referral Program5%$9$24027%

    Funnel overview: Landing page visit → trial signup: 22% (blended across channels). Trial signup → paid conversion: 14% company-wide.

    Recent test: A pricing-page redesign (new layout, clearer plan comparison) ran for 14 days and showed a +3% conversion lift — but the result was not statistically significant (p = 0.18), and the pricing page gets relatively low traffic compared to the rest of the funnel.

    You have 45 minutes to diagnose the bottleneck and propose what you'd test next.

    Constraints to Consider

    • Fixed monthly ad budget: You cannot request additional spend before the board meeting in 8 weeks. Any reallocation has to come from within the existing budget split above.
    • One dev slot this quarter: Engineering can support exactly one landing-page or product change this quarter. Whatever you propose that requires engineering work has to compete for that single slot — you cannot ask for more.
    • The referral program is protected by a partner agreement: A partnerships deal ties the referral program's budget and structure to contractual terms for the next two quarters. You cannot pause or restructure it, though you can propose increasing its allocation within what the agreement allows.
    • No time for a long test: With 8 weeks until the data room closes, any experiment needs to show a directional read within roughly 3–4 weeks to leave time to act on it.
    • You do not own engineering or design headcount — you are proposing what to build and test, not building it yourself.

    AI Usage Guidance

    We expect you to use AI tools. We evaluate how you use them — not whether you use them. Evidence of iteration, redirection, and critical evaluation scores higher than a polished output with no process documentation.

    The single highest-signal indicator: your video answer to the mandatory AI question. If you cannot name a specific moment where you redirected AI output, evaluators will assume you did not.

    Mandatory AI question for your video: Walk me through one moment where you disagreed with, pushed back on, or redirected what the AI gave you — and what you did instead. Name the specific moment. Explain what the AI produced that didn't meet the bar, what you did differently, and why.

    Video guidance for this role: Speak naturally and conversationally — as if you're briefing the CEO ahead of an investor call. We're listening for the quality of your diagnostic and prioritization logic — not verbal polish.

    Submission: Upload each deliverable as a separate file directly on the Provn platform: your Growth Plan, your README document (Sections A, B, and C), and your video walkthrough (MP4 or MOV).

    What You'll Accomplish

    Demonstrate the ability to diagnose the actual funnel bottleneck from imperfect, aggregate channel data

    Design a rigorous, hypothesis-driven experiment scoped to a real budget and dev-capacity constraint

    Prioritize investment using unit economics (CAC, LTV, payback) rather than vanity metrics or organizational inertia

    Translate a growth plan into a business narrative a non-marketing leader (or board) can act on

    Show how you worked with AI to accelerate your process — including at least one moment where you redirected it

    How Your Work Will Be Scored

    Growth Diagnosis & Experiment Design (35%): A strong submission names the real bottleneck with evidence, designs a hypothesis-driven test with a control and success threshold, and scopes it to the single dev slot and fixed budget.Business Impact & Prioritization (25%): A strong submission prioritizes using CAC/LTV/payback logic, names an explicit trade-off, and connects the plan to a business outcome.Cross-Functional Communication & Stakeholder Translation (15%): A strong submission delivers a board-ready narrative, anticipates the CEO's/stakeholder's skeptical question, and hands off an implementation-ready ask to engineering.Measurement & Learning Rigor (10%): A strong submission names a leading indicator checkable within 3–4 weeks and a lagging business metric, each with a threshold anchored to the data package.AI Fluency (15%): A strong submission documents at least 2 honest AI interactions in the usage log and answers the video AI question with a specific named redirection moment — not a generic description of "reviewing AI output."

    What to Submit

    No submission guidelines provided.

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