How the prompt works
The system prompt sets the LLM up as a product strategy consultant and requires six specific output sections in every response. Without that structure, models produce generic strategic advice instead of a document a cross-functional team can review and act on. The user prompt takes six variables that capture the full context of a planning cycle — product, goals, market conditions, constraints, timeline, and stakeholder priorities.System prompt
Sets the LLM’s role and defines the six sections it must always include in the output.User prompt
Six variables that capture the full context of a planning cycle — product, goals, market conditions, constraints, timeline, and stakeholder priorities.Sample output: CloudSync Enterprise Platform
Sample output: CloudSync Enterprise Platform
Product roadmap: Q1–Q3 2025 strategic planStrategic overviewVision: Transform CloudSync into the leading hybrid cloud platform for enterprise and mid-market customers through AI-powered analytics and seamless scalability.Key objectives:
- 30% improvement in customer retention
- Mid-market segment penetration
- Enhanced platform performance and compliance
- Database optimisation and performance tuning
- Privacy compliance framework implementation
- API rate limiting and security enhancements
- Milestone: SOC2 certification achieved
- AI-powered usage analytics dashboard
- Simplified onboarding workflow for mid-market
- Automated scaling capabilities
- Milestone: Mid-market pricing tier launch
- Predictive maintenance alerts
- Advanced reporting suite
- Mobile app for platform monitoring
- Milestone: 30% retention improvement target
- P0: GDPR compliance — High impact, Medium effort — legal requirement and market necessity
- P0: Performance optimisation — High impact, High effort — critical for customer retention
- P1: AI analytics dashboard — High impact, High effort — key competitive differentiator
- P1: Mid-market onboarding — Medium impact, Medium effort — revenue growth opportunity
- P2: Mobile monitoring app — Medium impact, Low effort — resource permitting
- Q1: 4 backend (compliance), 3 frontend (UX improvements), 2 DevOps (infrastructure)
- Q2: 6 frontend (AI dashboard), 3 backend (APIs), 2 DevOps (scaling)
- Q3: Balanced allocation across retention features and optimisation
- Q1: 40% performance improvement, SOC2 certification
- Q2: 100 mid-market signups, 70% AI dashboard adoption
- Q3: 30% retention increase, 4.5+ customer satisfaction score
- Technical: AI implementation complexity → start with simple analytics and iterate
- Resource: Engineering capacity constraints → prioritise P0 features, defer P2
- Market: Competitive pressure → fast-track AI differentiation features