# One-Pager Template

Copy this entire template and paste into Notion, Google Docs, or any editor. Use the AI prompt below to generate a first draft.

---

# [FEATURE/INITIATIVE NAME]

## 1. Problem Statement
**What is the customer problem?**

[Describe the problem in 2-3 sentences. Include: who has it, how often, what's the impact if unsolved?]

Example: PMs spend 4+ hours weekly manually compiling customer feedback from Slack, Intercom, and surveys instead of analyzing it.

---

## 2. Solution
**What are we building?**

[Describe your solution in 2-3 sentences. Keep it simple. Avoid implementation details.]

Example: A feedback aggregation tool that pulls messages from all sources, auto-categorizes them by theme, and surfaces top patterns daily.

---

## 3. Why Now?
**Why should we build this now? (vs later, vs not at all)**

- [Reason 1: market timing, competitive, customer demand]
- [Reason 2]
- [Reason 3]

Example:
- 3 of our top 10 customers have requested this feature
- Competitors are launching similar tools
- Churn analysis shows 60% of lost customers cited poor feedback loops

---

## 4. Success Metrics
**How do we measure success?**

- [Metric 1]: Target = [number]
- [Metric 2]: Target = [number]
- [Metric 3]: Target = [number]

Example:
- Daily Active Users: 50%+ of PM team using daily
- Time Saved: 3+ hours per PM per week
- NPS for this feature: 40+

---

## 5. Timeline & Scope
**What's shipping and when?**

**Phase 1 (Weeks 1-2):** [Core feature - MVP]
**Phase 2 (Weeks 3-4):** [Enhancement or integration]
**Phase 3 (Weeks 5+):** [Nice-to-have or expansion]

Example:
- **Phase 1:** Feedback aggregation from Intercom + Slack + email
- **Phase 2:** Auto-categorization by theme
- **Phase 3:** Predictive urgency scoring

---

## 6. Resources & Risks
**What do we need? What could go wrong?**

**Resources needed:**
- [1 engineer], [estimate: X weeks]
- [design work], [estimate: X days]
- [data/research], [estimate: X hours]

**Key risks:**
- [Risk 1 and mitigation]
- [Risk 2 and mitigation]

Example:
- Risk: Hard to auto-categorize feedback accurately
  - Mitigation: Start with manual categorization, build ML model over time
- Risk: Integrations are complex
  - Mitigation: MVP launches with Intercom + Slack only

---

## AI Prompt to Generate Your First Draft

Copy and paste this into Claude/ChatGPT. Fill in the brackets.

```
Create a one-pager for this feature:

Feature: [NAME]
Problem: [DESCRIBE THE PROBLEM]
Customer pain: [WHO HAS THIS PROBLEM AND WHY IT MATTERS]
Your solution: [HOW YOU'LL SOLVE IT]
Why now: [TIMELINE/COMPETITIVE/DEMAND REASONS]

Success looks like: [DESCRIBE 2-3 KEY OUTCOMES]
Timeline: [ROUGH ESTIMATE - WEEKS OR MONTHS]
Team: [WHO WILL BUILD IT]
Risks: [MAJOR BLOCKERS OR UNCERTAINTIES]

Format as a one-pager with these sections:
1. Problem Statement (2 sentences)
2. Solution (2 sentences)
3. Why Now (3 bullet points)
4. Success Metrics (3 metrics with targets)
5. Timeline & Scope (3 phases)
6. Resources & Risks (2 resources + 2 risks with mitigations)

Tone: clear, concise, persuasive to stakeholders.
```

---

## How to Use This

1. **For pitching:** Print and present to leadership
2. **For alignment:** Share with team before starting work
3. **For tracking:** Pin in Notion and update as things change
4. **For retrospective:** Use the metrics section to measure success after launch

**Pro tip:** Attach this to every Jira epic for context