Find the growth loop

To: Sam Okoro, Head of Growth From: [PM], Pollen Subject: Growth loop and where the two engineers go next quarter

Recommendation

Put both engineers on replacing the badge with "Make a form like this" and rolling it out to every form, with a holdout to measure it. Paid search and template pages don't need engineers. Referrals should wait until we have badge results.

Our primary loop

Creators publish forms. Respondents see the badge. Some click and sign up. Some of those sign-ups publish, and their forms bring in more respondents. Last month the badge drove about 4,750 sign-ups (4.8M respondents × 0.9% click rate × 11% sign-up rate) and about 1,800 new publishers. It has the best publish rate (38%) and next-month retention (85%) of any channel.

Is it compounding?

Not yet. Compounding requires each cohort to bring in more new creators than churn removes. Last month:

• New publishers: about 1,800 from the badge, 840 from template pages, and 440 from paid search, roughly 3,100 in total.
• Churn: 22% of 18,000 active creators, roughly 4,000.

At current rates the base shrinks about 5% a month, and paid and template pages are what keep it from falling faster. The badge is our best channel but a leaky one. It returns about 0.1 new publishers per active creator per month, against 22% churn.

Paid search is expensive. At $38 per sign-up and 21% publishing, a new publisher costs about $180. The average publisher is worth about $25 in Pro revenue (9% upgrade × $20 × 14 months). It only pays back if those publishers' forms keep feeding the badge. Finance has approved the budget, so it needs no engineering, but we should treat it as paid acquisition, not growth.

What the pilot changes

The copy-form badge raised clicks from 0.9% to 1.6% and publish rate from 38% to 52%. Applied to all forms, that's about 4,400 badge-driven publishers a month instead of 1,800. Total inflow would be about 5,700 against roughly 4,000 churn. That moves us from shrinking to growing, which is the difference that matters for this quarter.

The caveat is sample size. The pilot covered 500 forms: about 960 clicks and around 55 publishers. That's too small to bank on, which is why the rollout needs a holdout.

Where the engineers go

• Engineer 1: ship the badge replacement to all forms. This covers the copy-to-editor flow, production hardening, instrumentation, and a 10% holdout of forms that keep the old badge.
• Engineer 2: shorten the time from copy to publish. This means pre-filled editors, easy save-and-share, and prompts to publish the copy within the first week. Publish rate is the conversion step most worth improving in this loop.

Not engineering priorities this quarter

• Doubling paid search: Finance-approved and needs no build. Watch cost per publisher closely, given the Pro economics above.
• 200 template pages: This is content work for our team. Template sign-ups publish at 14%, the lowest of the three channels, but search traffic compounds over time. Start once the badge result is in, if capacity allows.
• Referral programme: The $10 credit could become a real loop, but we have no data on referrals per user, and it carries fraud risk. Revisit in Q2 with a small test cohort.

How we'll know it worked

Measured against the holdout after eight weeks:

1. Click rate: at least 1.6% of respondents on treated forms, against about 0.9% on control.
2. Publish rate: at least 50% of copy-form sign-ups publish within 30 days, against 38% today.
3. Net growth: new publishers exceed churn (about 4,000 at today's base), so the active base grows month over month.
4. Quality: copy-form publishers retain at 85% or better into the following month, so they aren't one-off users.
5. Revenue: Pro upgrade rate among new publishers is at least 9%.

Revert if the click lift against holdout is not clear, or publish rate falls below 38%, the old baseline.

To: Sam Okoro, Head of Growth From: Product Subject: Put both engineers on the respondent-to-creator loop

Recommendation

Assign both engineers to “Make a form like this” next quarter: one to a safe, reliable copy-to-editor experience; the other to attribution, experimentation, and activation measurement. Do not double paid search or build the referral programme. Keep existing template acquisition running, but do not make 200 new pages the engineering priority.

Our primary growth loop

Creators publish forms → respondents encounter Pollen → some become creators and publish → their forms reach more respondents.

The badge closes this loop. Templates and paid search feed creators into it, but are not themselves loops: team-written SEO pages require more team production, and paid acquisition requires more spend.

Using the supplied volumes, last month’s 40,000 forms generated approximately 4.8 million respondent encounters:

The badge is our largest acquisition source by activated creators and our strongest by next-month retention: 85%, versus 71% for templates and 64% for paid.

These badge totals assume the respondent volume is eligible to see the badge. Pro removes it, so we must measure actual badge exposure before treating these as forecasts.

Is it compounding?

It recirculates, but we have not demonstrated self-sustaining compounding.

At current rates, each active creator generates approximately 0.10 new publishing creators per monthly production cycle. Meanwhile, 22% of active creators do not return the next month.

A simplified replacement model therefore gives:

78% returning + 10% newly generated = 88% of the starting base.

The loop alone does not currently replace creator attrition. External acquisition can still grow Pollen, but that is different from autonomous compounding. This calculation is directional: publication, activation, and retention windows are not perfectly aligned, and future cohorts may retain differently.

The pilot is promising. Its click and publication rates imply 2.43 times as many new publishing creators per respondent:

• Current: 0.376 publishing creators per 1,000 respondents
• Pilot: 0.915 per 1,000

At unchanged volume, that would mean approximately 4,393 new publishing creators, versus 1,806 today. The same simplified replacement model reaches 78% + 24.4% = 102.4%—potentially crossing the self-sustaining threshold, but narrowly. Badge coverage, cohort maturity, retention, and repeat production could erase that margin.

Why this beats the alternatives

Paid search: Current spend is $79,800, or approximately $181 per publishing creator. Applying our overall upgrade rate and Pro lifetime, expected lifetime subscription revenue per publishing creator is only 9% × $20 × 14 = $25.20, before costs. Channel-specific monetization could differ, but the supplied economics do not justify scaling. Finance approval is not evidence of profitable growth.

More templates: They produce useful acquisition, but weaker activation and retention than the badge. We also have no evidence that 200 additional pages would reproduce existing traffic or conversion.

Referral credits: Paying for sign-ups rewards an intermediate action, invites low-quality referrals, and lacks pilot evidence. Revisit an activation-based incentive later.

Delivery and proof

Engineer 1: Build the contextual editor entry and reliable form-copy flow. Copy only permitted form structure—not respondent submissions, credentials, or integrations—and provide appropriate creator controls. Preserve Pro’s badge-removal benefit.

Engineer 2: Instrument exposure through publishing, next-month activity, downstream form distribution, and Pro conversion; run a persistent randomized test, clustered by source creator.

Our primary success metric is incremental creators publishing within 30 days per 1,000 eligible respondent encounters, not clicks or sign-ups. Target at least 2× control, with a statistically credible lift and no material deterioration in next-month retention.

Track form-completion rate, privacy complaints, Pro conversion, and badge-removal behavior as guardrails. Validate the pilot’s reported 30-day activation on mature cohorts; a two-week pilot alone cannot establish that outcome for every participant.

Finally, follow acquired creators’ subsequent publishing and respondent reach. Declare compounding only when mature production cohorts show that returning creators plus loop-generated creators consistently exceed the starting base without increased external acquisition.

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

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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 $\approx 9\%$.