Prompt Details
Model
Chat - (gpt-5.4)
Token size
471
Example input
[SITUATION]: My SaaS startup has low user retention after the free trial ends
[CURRENT_REALITY]: Small team, limited budget, B2B market, 3-month runway
[LIMITING_ASSUMPTION]: Users need more features to stay
[PRIORITY_CRITERIA]: Quick wins first
[DEPTH_LEVEL]: deep-dive
Example output
Very well, domnule. Let’s dissect this with surgical precision rather than wishful thinking.
PHASE 1 — ASSUMPTION MAPPING
Core Situation: Low user retention after free trial ends
1. Feature Sufficiency Assumption (Product Assumption)
Users churn because the product lacks enough features.
2. Value Timing Assumption (Temporal Assumption)
Users only perceive value after the trial ends or near its end.
3. Uniform User Motivation Assumption (Behavioral Assumption)
All users churn for roughly the same reason.
4. Conversion as Commitment Assumption (Economic Assumption)
Payment is the primary indicator of product value and commitment.
5. Trial Structure Assumption (Operational Assumption)
A time-limited free trial is the optimal onboarding model.
6. Product-Centric Retention Assumption (Causal Assumption)
Retention is driven mainly by product capabilities, not external factors.
7. Linear Value Delivery Assumption (Cognitive Assumption)
More features = more perceived value = higher retention.
8. Resource Constraint Assumption (Resource Assumption)
Limited budget/team means limited ability to influence retention meaningfully.
9. B2B Rationality Assumption (Market Assumption)
B2B users make purely rational, ROI-driven decisions.
PHASE 2 — INVERSION UNIVERSES
World 1: “The Minimalist Dominance”
Inverse of Feature Sufficiency Assumption
→ Fewer features increase retention.
Logic: Users stay because the product is radically simple and solves one painful job perfectly.
World 2: “Instant Gratification Economy”
Inverse of Value Timing Assumption
→ All value must be realized within the first 5 minutes.
World 3: “Fragmented Motivations”
Inverse of Uniform Motivation Assumption
→ Every user churns for a different reason.
World 4: “Commitment Without Payment”
Inverse of Conversion Assumption
→ Users commit deeply without ever paying upfront.
World 5: “No-Trial Universe”
Inverse of Trial Structure Assumption
→ Free trials don’t exist; access is earned or gradual.
World 6: “Context Over Product”
Inverse of Product-Centric Assumption
→ Retention depends mostly on external workflows, not the product itself.
World 7: “Less is More Value”
Inverse of Linear Value Assumption
→ More features decrease perceived value.
World 8: “Constraint as Leverage”
Inverse of Resource Constraint Assumption
→ Smaller teams outperform by being forced into sharper decisions.
World 9: “Irrational B2B Buyers”
Inverse of Rationality Assumption
→ B2B decisions are emotional, political, and identity-driven.
PHASE 3 — SOLUTION EXTRACTION
World 1: Minimalist Dominance
Strip product to core “aha” feature
Remove underused features to reduce cognitive load
Position as best-in-class for one use case
World 2: Instant Gratification
Redesign onboarding to deliver value in <5 minutes
Pre-load demo data showing immediate results
Force first success action within onboarding
World 3: Fragmented Motivations
Segment users aggressively (by role, intent, company size)
Personalized onboarding paths
Exit surveys + behavioral analytics loops
World 4: Commitment Without Payment
Introduce “activation milestones” instead of paywalls
Lock advanced features behind usage, not payment
Build habit loops before monetization
World 5: No-Trial Universe
Switch to freemium instead of time-based trial
Or usage-based trial (credits instead of days)
Gate premium features instead of time
World 6: Context Over Product
Integrate into existing workflows (Slack, CRM, email)
Provide templates tied to real business outcomes
Offer onboarding tied to user’s actual business data
World 7: Less is More Value
Remove “nice-to-have” features
Highlight only 1–2 core benefits in UX
Reduce UI complexity dramatically
World 8: Constraint as Leverage
Focus only on highest-leverage retention lever
Kill all non-retention-related work
Ship fast experiments weekly
World 9: Irrational B2B Buyers
Add social proof (logos, testimonials, case studies)
Trigger fear of missing out (competitor usage signals)
Build emotional hooks (status, risk reduction)
PHASE 4 — REALITY BRIDGE
🟢 Directly Transferable
Instant value onboarding (<5 min)
Pre-loaded demo data
User segmentation + tailored onboarding
Social proof + case studies
Weekly retention experiments
Integration into existing workflows
🟡 Conditionally Transferable
(requires abandoning “more features = retention”)
Feature reduction / simplification
Freemium or usage-based pricing
Activation milestones instead of paywall
Hyper-focused positioning (one core use case)
Removing UI complexity
🔴 Not Transferable
Completely eliminating payment models
Fully irrational decision frameworks (can only partially apply)
PHASE 5 — ACTION SYNTHESIS (PRIORITIZED ROADMAP)
Criteria: Speed → Impact (given 3-month runway)
TIER 1 — IMMEDIATE (Week 1–2)
High impact, low effort
Force “Aha Moment” in <5 Minutes
Add guided onboarding with one clear success outcome
Pre-load realistic demo data
Add Social Proof Everywhere
Homepage, onboarding, dashboard
Case studies tied to ROI
Track Activation Metric
Define 1 key action that predicts retention
Optimize onboarding around it
TIER 2 — SHORT TERM (Week 2–6)
Segment Users + Customize Onboarding
Role-based flows (e.g., manager vs operator)
Industry-specific templates
Integrate Into Existing Tools
Even lightweight integrations (Zapier, Slack)
Reduce friction of adoption
TIER 3 — STRATEGIC SHIFTS (Week 4–12)
Simplify Product Aggressively
Remove or hide low-usage features
Emphasize 1 core value proposition
Switch to Freemium or Usage-Based Model
Replace time pressure with value accumulation
Let users grow into payment
Build Habit Loops Before Paywall
Notifications, recurring value triggers
Weekly usage patterns
Final Diagnostic Insight
Your biggest hidden risk, domnule:
You are trying to add value when the real problem is likely failure to surface value fast enough.
Feature expansion is a slow, expensive bet.
Retention is usually won—or lost—in the first session.
If you wish, I can now map your exact product funnel and identify the precise drop-off point with a forensic breakdown.
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GPT-5.4
Stuck on a problem? This prompt demolishes your blind spots.
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