This is the crucible. Product–market fit is where founders either prove their product lives in the real world — or discover they’ve built a toy. Compliments don’t count. Retention, referrals, and repeat use do.
The pressure now isn’t “does this work?” — it’s “does this matter enough for people to keep coming back?”
“If users don’t stick, you don’t have a product — you have a demo.”
Purpose
- Show behavioral evidence that the product delivers repeatable value.
- Prove retention curves and engagement exceed novelty interest.
- Identify the “Aha moment” that locks in user value.
- Capture organic pull signals — referrals, waitlists, repeat orders.
When to Complete
- After MVP has enough users to measure retention patterns.
- Before scaling spend on marketing or fundraising for growth.
- Once evidence shows stickiness beyond novelty (e.g., 25–50 engaged users, recurring use for 2–3 cycles).
Proof Sections
Behavior Over Buzz
- Who’s logging in and how often?
- What behaviors are proving sticky?
- B2B SaaS – “DAUs up 40% in 3 weeks; 70% logins include project creation or team invite.”
- B2C CPG – “30% of sample buyers reordered within 14 days.”
- Services – “2 of 3 pilot clients renewed scope for a second month.”
Retention Trends
- What’s your short- and mid-term retention?
- Where are users dropping off?
- B2B SaaS – “Day 1 retention 65%; Day 7 40%; drop-off after dashboard customization → added walkthroughs.”
- B2C CPG – “70% of trial customers finish product within a week; 25% repurchase monthly.”
- Services – “Average client engagement extended from 30 to 90 days; churn tied to reporting cadence confusion.”
‘Aha’ Moment Definition
- What’s the single behavior that signals value unlocked?
- How did you discover it?
- B2B SaaS – “Users who build 3+ workflows in 48 hrs retain at 4x baseline → onboarding redesigned around this.”
- B2C CPG – “Customers who post product photos on Instagram reorder at 2.5x baseline.”
- Services – “Clients who attend onboarding workshop renew 80% more often.”
Referrals & Pull Signals
- Are users inviting others, expanding use, or creating demand beyond your list?
- B2B SaaS – “28% of users shared dashboards; 3 waitlisted orgs reached out after seeing peer usage.”
- B2C CPG – “Retailer inbounded after seeing peer reviews; friends asking how to get sample kits.”
- Services – “Pilot client referred us to 2 partners without being asked.”
Execution Requirements
- Defined and measured retention curve (D1, D7, D30 or equivalent).
- Clear “Aha moment” documented and tied to onboarding.
- Referral or expansion signals tracked.
- Evidence that usage is repeatable and durable, not novelty-driven.
Domain Adaptability – Moderate
Universal Goal: Prove that the product delivers repeatable, sticky value. Execution looks different by domain.
Quick How-to by Domain:
- B2B SaaS / Software – Track DAU/MAU, feature usage funnels, virality metrics (invites, shares).
- B2C CPG – Track reorder rates, social mentions, referral demand.
- Services / Ops-Heavy Models – Track renewal rates, scope expansion, unsolicited referrals.
Expected Output
- Retention metrics + engagement patterns (chart or funnel).
- Defined “Aha moment” and how onboarding drives toward it.
- Referral or expansion proof (screenshots, reorder data, partner inquiries).
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Optional Enhancements (Pro-Level Execution)
- Cohort Retention Curves — Compare early vs. later cohorts for trend validation.
- Net Promoter Score (NPS) — Measure willingness to recommend alongside behavioral proof.
- North Star Metric — Define the one metric that reflects sustained product value (e.g., workflows/team, reorder rate, retained scope).
- Referral Flywheel — Build in simple, native sharing/referral loops.
- Monetization Signal — Early willingness to pay layered over engagement data.