8.1 PMF Gate Framework
View section →The PMF gate is the most important decision point in the SPARK launch. By August 2026, the following metrics must be achieved to confirm product-market fit and proceed to the scale phase.
PMF DEFINITION: Product-market fit is confirmed when users are getting enough value from SPARK that they would be very disappointed if it disappeared. The primary signal is a NPS of ≥40 and a D30 retention rate of ≥20%.
PMF Gate — 31 May 2026 (App-Side Gate)
All app-side metrics must be green to proceed to Phase 3 (offline activation). If any app-side metric is red, Phase 2 is extended by 4 weeks. No offline spending before the gate.
| Metric | Target |
|---|---|
| D30 Retention | ≥20% |
| NPS (Ellis PMF Score) | ≥40 'Very Disappointed' |
| Referral Rate | ≥30% of users refer 1+ |
| Profile Completion | ≥70% complete profiles |
PMF Gate — August 2026 (Full Gate)
| Metric | PMF Gate Target | Phase | Status If Missed |
|---|---|---|---|
| Total active users | 8,000–10,000 | Phase 1–2 | Extend Phase 2 by 6 weeks |
| Female ratio | ≥50% | All phases | Pause male onboarding |
| D30 retention | ≥20% | Phase 1–2 | Product emergency — review onboarding |
| Match → meeting rate | ≥15% | Phase 1–2 | Add event invitations, reduce friction |
| NPS | ≥40 | Phase 1–2 | Conduct 20 user interviews immediately |
| Referral rate | ≥20% | Phase 1–2 | Activate WOM mechanics |
| Event fill rate | ≥80% | Phase 3 only | N/A at PMF gate |
| Repeat attendance | ≥40% | Phase 3 only | N/A at PMF gate |
Hypergrowth Scenario: 20,000 Users by September
The hypergrowth scenario requires three conditions to be true simultaneously:
- PMF is confirmed by 31 May with all 5 metrics green
- The referral K-factor exceeds 0.6 by Month 2
- Budget is increased to $25,000–30,000/month from June
If all three conditions are met, 20,000 users by September is achievable. Additional enablers: 10 Ambassadors Active from June, 3 Events/Week from July, 2 Mid-Tier Influencers (100K+ reach each).
8.2 Scale vs Pivot Decision Tree
View section →PMF Decision Tree
| Outcome | Condition | Action |
|---|---|---|
| SCALE | All metrics met | Proceed to Phase 4. Begin Singapore preparation. Raise Series A. Expand team. |
| EXTEND | 1–2 metrics missed | Extend Phase 2 by 6 weeks. Focus exclusively on failing metrics. Re-evaluate at end of extension. |
| PIVOT | 3+ metrics missed | Conduct 20 user interviews. Identify root cause. Choose: extend Phase 2, narrow to expat-only, or pivot to group social events. |
| EMERGENCY | NPS <30 | Stop all acquisition. Fix the product. Conduct 20 user interviews within 48 hours. Do not acquire new users until NPS >40. |
Pivot Decision Tree — 4 Scenarios
Scenario A: Supply Shortage (CRITICAL)
Triggers: Gender imbalance (female < 45%) · Install growth stalling (< 200/week)
| Step | Action | Owner | Timeline |
|---|---|---|---|
| 1 | Immediately pause all male-targeted paid acquisition | CEO | Same day |
| 2 | Activate all female acquisition channels: yoga studios, MBA programs, expat women groups | CEO + Growth | 48 hours |
| 3 | Personally DM 20 female super-connectors with personalised invitations | CEO | 48 hours |
| 4 | Review onboarding funnel for female drop-off points | Product | 72 hours |
Pivot Option: If female ratio does not recover to 48%+ within 2 weeks: extend Phase 1 by 4 weeks and do not launch events.
Scenario B: Engagement Collapse (HIGH)
Triggers: Match → Meeting rate < 10% · Sparks sent per user < 1/week
| Step | Action | Owner | Timeline |
|---|---|---|---|
| 1 | Audit match quality — are profiles complete and photos verified? | CEO | 24 hours |
| 2 | Manually curate 5 high-quality matches per active user | CEO + Community | 48 hours |
| 3 | Add in-app experience prompts: suggest 3 specific venues for first meeting | Product | 1 week |
| 4 | Reduce Spark cost temporarily or add bonus Sparks to active users | CEO | 48 hours |
Pivot Option: If meeting rate does not recover to 12%+ within 3 weeks: pivot to curated group experiences as primary matching mechanism.
Scenario C: WOM Engine Failure (HIGH)
Triggers: Referral installs < 10% of total · WOM growth flat for 2+ weeks
| Step | Action | Owner | Timeline |
|---|---|---|---|
| 1 | Interview 10 active users: why haven't they referred anyone? | CEO | 48 hours |
| 2 | Increase referral reward — test double-sided incentive (both referrer and referee get bonus Sparks) | CEO + Product | 1 week |
| 3 | Create shareable Match Card feature: users share anonymised match story to Instagram Stories | Product | 2 weeks |
| 4 | Activate NPS survey for all users with 3+ meetings — identify promoters and personally ask for referrals | CEO | 1 week |
Pivot Option: If referral rate does not reach 15%+ within 4 weeks: shift budget from paid acquisition to event production to generate organic content.
Scenario D: PMF Gate Failure (STRATEGIC)
Triggers: PMF gate metrics not met by July 2026 · Two or more red flags simultaneously
| Step | Action | Owner | Timeline |
|---|---|---|---|
| 1 | Do not raise funding or expand to new city — stabilise Bangkok first | CEO | Immediate |
| 2 | Narrow target to expat-only cohort (higher disposable income, lower cultural friction) | CEO | 1 week |
| 3 | Pivot event format: replace 1:1 matching events with group social dinners (lower commitment, easier to fill) | CEO + Events | 2 weeks |
| 4 | Extend Phase 2 by 6 weeks. Reset PMF gate to September 2026. | CEO | Decision within 1 week |
Pivot Option: If September 2026 PMF gate also fails: consider full pivot to B2B corporate social events or sell the influencer network as a standalone product.
8.3 Growth Control System
View section →The SPARK growth loop must be measurable and actively managed. Each stage has a target conversion rate. If any stage drops below target, the corresponding action is executed immediately.
Install → Profile → Wink → Spark → Chat → Meeting → Story
| Stage Transition | Target Rate | Warning Threshold | Immediate Action |
|---|---|---|---|
| Install → Profile | 65–75% | < 60% | Simplify onboarding flow |
| Profile → First Match | 40–50% | < 35% | Manually curate matches |
| Match → Chat | 60% | < 40% | Add conversation starters |
| Chat → Meeting | 15–25% | < 10% | Push experience suggestions |
| Meeting → Story Share | 40–50% | < 30% | Activate post-event sharing prompts |
| Story Share → Referral Install | 10–15% | < 8% | Add referral CTA to story |
SPARK Command Dashboard — 11 Metrics
The founder monitors these 11 metrics every morning. Each metric has a target, a unit, and a red-flag alert. When any alert triggers, the corresponding protocol activates immediately.
| Metric | Category | Target | Alert Threshold | Alert Action |
|---|---|---|---|---|
| Total Users | Growth | See war plan | < weekly target | Acquisition review |
| Daily Active Users | Growth | 20% of total | < 15% | Re-engagement campaign |
| Weekly Active Users | Growth | 40% of total | < 30% | Product friction review |
| Female Ratio | Liquidity | 50–60% | < 45% | Pause male onboarding |
| Matches Per User | Liquidity | ≥2 per active user | < 1 | Manual curation needed |
| Time to First Match | Liquidity | < 24 hours | > 48h | Liquidity intervention |
| Sparks Sent | Engagement | 50/day (Phase 1) | < 20/day | Push Spark prompts |
| Match → Chat Conversion | Engagement | ≥60% | < 40% | Add conversation starters |
| Chat → Meeting Conversion | Meetings | ≥15% | < 8% | Experience inventory review |
| Event Attendance Rate | Events | ≥80% of bookings | < 70% | No-show management |
| Referral Rate | WOM | ≥20% of installs | < 10% | Referral incentive review |
FOUNDER RULE: Review all 11 metrics every Monday morning before any other task. If two or more alerts are triggered simultaneously, activate the Liquidity War Plan immediately.
8.4 City Replication Framework
View section →The Bangkok model becomes the template. Every city launch replicates the same five-step process. The only variables are the local team, local venues, and local cultural adaptations. The system is the same.
5-Step City Launch Process
Step 1 — Build First 1,000 Users: Curated, not random. Social connectors, influencers, MBA students, expat professionals. Every new user receives 3 curated matches within 24 hours. Gender ratio maintained at 45–55% female from day one.
Step 2 — Engineer Liquidity: Manually curate matches until algorithmic matching is reliable. Seed early users with high-energy connectors. Ensure time-to-first-match is under 24 hours for every user. Do not scale until liquidity is confirmed.
Step 3 — Launch Curated Experiences: First events are small (20–30 people), highly curated, and seeded with 30–40% connectors. Events generate social content. Content drives next cohort. Each event must generate 10+ organic posts.
Step 4 — Activate Viral Event Content: Event content is the primary acquisition channel in Phase 3. Arrival clips, crowd videos, testimonials, behind-the-scenes. Post within 24 hours. Amplify with influencer reshares. Each event should drive 50–200 new installs.
Step 5 — Scale Through WOM: Once repeat attendance exceeds 30% and NPS exceeds 55, the WOM flywheel is self-sustaining. Paid acquisition becomes supplementary. The platform grows through stories, referrals, and social proof.
THE REPLICATION RULE: Never launch a new city before Bangkok has proven the model. Bangkok must achieve: 10,000+ users, D30 retention ≥20%, Match→Meet ≥30%, Event NPS ≥55, Referral rate ≥25%. Only then does the Bangkok playbook become the city replication template.
City Launch Gate Criteria
| Metric | Bangkok Gate | Singapore Gate | India Gate |
|---|---|---|---|
| Active users | 10,000+ | 5,000+ | 8,000+ |
| D30 retention | ≥20% | ≥20% | ≥20% |
| Match → Meet rate | ≥30% | ≥25% | ≥20% |
| Event NPS | ≥55 | ≥50 | ≥50 |
| Referral rate | ≥25% | ≥20% | ≥20% |