Roadmap Scenario Planning
Build multiple roadmap scenarios from team capacity, dependencies and market windows, score against OKRs and flag critical path risks using structured AI prompts.
Objective: Create a reusable AI prompt that accepts explicit constraints (team capacity, dependencies, market windows), generates three distinct roadmap scenarios (aggressive growth, risk-mitigation, platform investment), scores each scenario against given OKRs, and surfaces critical-path risks so product and engineering leaders can decide with clarity.
The base prompt was formed through these deliberate steps:
- Identify the mandatory inputs that every useful roadmap scenario must respect: quantitative team capacity, hard dependencies, and time-bound market windows.
- Define the exact set of scenarios the model must always produce so outputs remain comparable across runs.
- Require chain-of-thought reasoning that first lists constraints, then builds each scenario, then scores, then isolates critical-path risks.
- Force structured output (tables + bullet lists) so the result can be copied directly into planning documents.
- Embed quality gates that reject vague language and demand concrete dates, headcount numbers, and risk likelihood/impact pairs.
Keeping the scenario types fixed (aggressive growth, risk-mitigation, platform investment) makes side-by-side comparison reliable and prevents the model from inventing unhelpful variants.
You are an expert product strategist and delivery lead.
{{snippet:brand_voice}}
Task: Generate three roadmap scenarios for the product initiative described below.
Constraints (treat these as hard limits):
- Team capacity: {{team_capacity}}
- Dependencies: {{dependencies}}
- Market windows: {{market_windows}}
OKRs to score against:
{{okrs}}
Follow this exact chain of thought:
1. Restate the constraints in your own words and note any immediate conflicts.
2. Build Scenario A – Aggressive Growth: prioritise speed and market share, accept higher risk.
3. Build Scenario B – Risk-Mitigation: prioritise reliability and contingency buffers.
4. Build Scenario C – Platform Investment: prioritise reusable foundations and long-term leverage.
5. For each scenario produce:
- High-level timeline (quarters or months)
- Key initiatives with owner roles
- Resource allocation against the given capacity
6. Score every scenario against each OKR on a 1-5 scale and give a one-sentence justification.
7. Identify the critical path for each scenario and list the top three risks with likelihood and impact.
Output format:
- Constraint summary (bullet list)
- Three scenario sections with timelines and initiatives
- Scoring table (Scenario | OKR | Score | Justification)
- Critical-path risks table (Scenario | Risk | Likelihood | Impact | Mitigation note)
Tone: {{tone}}
Length: keep each scenario description under 250 words.
OKR stands for Objectives and Key Results. It is a simple, widely used goal-setting framework that helps teams and organizations define ambitious goals and track measurable progress toward them.
| Element | Type | Example value |
|---|---|---|
| {{snippet:brand_voice}} | snippet | Speak in clear, decisive language suitable for executive stakeholders. Avoid jargon and filler. |
| {{team_capacity}} | variable | 12 engineers, 3 designers, 2 PMs; max 40 person-weeks per quarter |
| {{dependencies}} | variable | Payment gateway certification (Q3), legal review of data residency (must finish before launch) |
| {{market_windows}} | variable | Holiday shopping peak starts 15 Nov; competitor major release expected mid-September |
| {{okrs}} | variable | 1. Achieve 25% MoM active-user growth by end of Q4. 2. Keep P1 incident rate below 2%. 3. Ship the new billing module with <5% support tickets in first 30 days. |
| {{tone}} | variable | professional and concise |
You are an expert product strategist and delivery lead.
Speak in clear, decisive language suitable for executive stakeholders. Avoid jargon and filler.
Task: Generate three roadmap scenarios for the product initiative described below.
Constraints (treat these as hard limits):
- Team capacity: 12 engineers, 3 designers, 2 PMs; max 40 person-weeks per quarter
- Dependencies: Payment gateway certification (Q3), legal review of data residency (must finish before launch)
- Market windows: Holiday shopping peak starts 15 Nov; competitor major release expected mid-September
OKRs to score against:
1. Achieve 25% MoM active-user growth by end of Q4. 2. Keep P1 incident rate below 2%. 3. Ship the new billing module with <5% support tickets in first 30 days.
Follow this exact chain of thought:
1. Restate the constraints in your own words and note any immediate conflicts.
2. Build Scenario A – Aggressive Growth: prioritise speed and market share, accept higher risk.
3. Build Scenario B – Risk-Mitigation: prioritise reliability and contingency buffers.
4. Build Scenario C – Platform Investment: prioritise reusable foundations and long-term leverage.
5. For each scenario produce:
- High-level timeline (quarters or months)
- Key initiatives with owner roles
- Resource allocation against the given capacity
6. Score every scenario against each OKR on a 1-5 scale and give a one-sentence justification.
7. Identify the critical path for each scenario and list the top three risks with likelihood and impact.
Output format:
- Constraint summary (bullet list)
- Three scenario sections with timelines and initiatives
- Scoring table (Scenario | OKR | Score | Justification)
- Critical-path risks table (Scenario | Risk | Likelihood | Impact | Mitigation note)
Tone: professional and concise
Length: keep each scenario description under 250 words.
Extended example values:
-
{{snippet:brand_voice}}
- Speak in clear, decisive language suitable for executive stakeholders. Avoid jargon and filler.
- Use short paragraphs and active voice; every sentence must advance a decision.
-
{{team_capacity}}
- 12 engineers, 3 designers, 2 PMs; max 40 person-weeks per quarter
- 8 backend, 4 frontend, 2 QA; total available effort 36 person-weeks after holidays
-
{{dependencies}}
- Payment gateway certification (Q3), legal review of data residency (must finish before launch)
- Core platform API freeze until 1 October; third-party analytics SDK upgrade required by 15 August
-
{{market_windows}}
- Holiday shopping peak starts 15 Nov; competitor major release expected mid-September
- Enterprise RFP season opens 1 September; regulatory filing deadline 30 October
-
{{okrs}}
-
- Achieve 25% MoM active-user growth by end of Q4. 2. Keep P1 incident rate below 2%. 3. Ship the new billing module with <5% support tickets in first 30 days.
-
- Reach 50k monthly paid seats. 2. Reduce average onboarding time to under 4 minutes. 3. Maintain NPS above 45.
-
-
{{tone}}
- professional and concise
- analytical yet action-oriented
After the model returns the three scenarios, feed the scoring table back into a follow-up prompt that asks for a recommended primary scenario plus a short contingency plan. This keeps the decision loop tight and documented.