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MEMO
To: Sam Okoro, Head of Growth From: Product Management Date: Current Subject: Engineering Allocation for Next Quarter: Doubling Down on Our Primary Growth Loop
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Executive Summary
Our primary growth engine is our product-led viral loop (forms $\to$ respondents $\to$ badge clicks $\to$ creators $\to$ new forms). While powerful, it is currently amplifying, not self-compounding ($K < 1.0$).
Both engineers should be dedicated to Idea 4 (“Make a form like this”). The pilot proved a 143% lift in publishing creators from our highest-volume, highest-retention channel. Conversely, Paid Search is deeply unprofitable, SEO templates are editorial rather than engineering work, and referrals solve an acquisition problem we can address organically for free.
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1. Our Primary Growth Loop & Why It’s Not Yet Compounding
Our primary growth loop is driven by the form badge:
$$\text{Active Creators} \longrightarrow \text{Published Forms} \longrightarrow \text{Respondents} \longrightarrow \text{Badge Clicks} \longrightarrow \text{Sign-ups} \longrightarrow \text{Publishing Creators}$$
Current Monthly Metrics (Badge Loop): * 4.8M respondents ($40\text{k forms} \times 120\text{ respondents}$) * 43,200 clicks ($0.9\%$) $\to$ 4,752 sign-ups ($11\%$) $\to$ 1,806 new publishing creators ($38\%$) * Retention: Badge creators have our highest month-two retention (85%, vs. 71% for SEO and 64% for Paid).
Is it compounding? No—not in the runaway sense. * Each active creator publishes $\approx 2.22$ forms, reaching 267 respondents. * At baseline conversion rates, one publishing creator generates only 0.10 new publishing creators per cycle ($267 \times 0.009 \times 0.11 \times 0.38$). Even accounting for creator lifetime retention, the viral factor ($K$) remains well below $1.0$. * The loop is an amplifier of other top-of-funnel acquisition, but it cannot sustain compounding growth on its own without steady top-of-funnel inputs. To move closer to a true compounding state, we must dramatically increase loop velocity and cycle conversion.
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2. Evaluation of the Four Ideas
| Idea | Strategic Fit | Unit Economics / Impact | Recommendation |
|---|---|---|---|
| :--- | :--- | :--- | :--- |
| 1. Double Paid Search | Poor | Severely negative LTV:CAC. Pro LTV is \$280 ($20 \times 14\text{ mo}$). Value per sign-up is \$5.29 ($21\% \text{ publish} \times 9\% \text{ upgrade} \times \$280$). We pay \$38.00 per sign-up, losing \$32.71 on every acquisition. | Kill immediately. No eng needed. |
| 2. 200 Template Pages | Moderate | 14% publish rate; content-writing task, not an engineering initiative. Programmatic SEO would require eng, but manual templates do not. | Pass to Content/Marketing. |
| 3. Referral Program | Low | High friction; asks creators to solicit peers for \$10 credit when 4.8M natural form-users already experience the product directly each month. | Deprioritize. |
| 4. "Make a form like this" | Exceptional | Increases badge CTR ($0.9\% \to 1.6\%$) and publish rate ($38\% \to 52\%$). Generates 2,587 incremental publishing creators/month. | Full Eng Commitment. |
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3. Engineering Allocation: 100% to Idea 4
We should allocate both engineers to productionize and optimize “Make a form like this.”
This is an architectural and UX challenge, not a copy change: 1. Sanitized Form Duplication: Automatically clone questions, logic, and layout while stripping respondent data, webhooks, and private settings. 2. Instant Preview & Onboarding Editor: Drop users directly into a pre-populated editor session before forcing account creation to preserve the pilot's 52% activation rate.
Expected Impact: * Monthly badge publishing creators will increase from 1,806 to 4,393 (+143%). * Revenue impact: 2,587 incremental publishers $\times 9\%$ Pro conversion $\times \$280\text{ LTV} =$ \$65,190 in incremental LTV added per month ($\approx \$780\text{k annualized}$), with zero marginal ad spend. * It raises our loop factor ($K$) from $\approx 0.10$ to $\approx 0.24$ per cycle, dramatically accelerating organic compounding.
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4. How We'll Know It Worked
We will run a 50/50 randomized split test across all active forms.
#### Primary Success Metric * New 30-Day Publishing Creators generated per 100,000 respondents (Baseline: 37.6 $\to$ Target: $\ge 91.5$).
#### Guardrail & Funnel Metrics * Badge Click-Through Rate: Maintain pilot performance at $\ge 1.6\%$. * Sign-up Conversion: Maintain baseline at $\ge 11\%$. * 30-Day Publish Rate: Maintain pilot performance at $\ge 52\%$. * Form Quality Guardrail: Ensure month-two retention for cloned-form creators matches or exceeds the 85% badge baseline. * Pro Conversion Rate: Confirm downstream Pro upgrade rate stays constant at $\approx 9\%$.
Grades and run details
Decision model 50
Decision model checks
- failUses the supplied evidence correctly57%
- passAddresses the actual decision87%
- partialRespects explicit constraints22%
- partialIdentifies material uncertainty39%
- failAvoids unsupported claims35%
- passProduces the required deliverable58%
- partialCalls out the paid maths68%
- partialPicks the lever with the most yield82%
- passA closed loop, not a channel85%
- failThe loop maths holds34%
- partialProposes tests that could fail87%
Run
- Run
- #1
- API response time
- 32 s
- Submitted
- 2 Oct 2026