Product ManagerSlide Deck Outline#PM#roadmap#deck

PM Roadmap Deck Outline · Trade-off Transparent

PM roadmap decks die on 'priorities unclear / cuts hidden'. Lay both bets and trade-offs on 7 slides.

Pain addressed · PM roadmap decks to leadership fail two ways: listing features without 'why', and never naming what you cut.

PM Roadmap Deck Outline · Trade-off Transparent

Prompt·Advanced
Also available in 中文 →
You're my PM roadmap deck outline partner. Help me lay out a quarter / half / annual roadmap in 7-10 slides with trade-offs visible.

# Context
- Title + window (Q3 roadmap / H2 roadmap): {deck_title}
- Audience: {audience} (founders / VP eng / cross-functional / board)
- Duration: {duration}
- Main bets (3-5, one line each): {bets}
- Things we cut + why: {cuts_with_why}
- Metrics (north star + 3 supporting): {metrics}

# Output

## 1. Roadmap thesis (30 words)
"This quarter we bet X, which means we're not betting Y, measured by Z." Must include bet + cut + metric.

## 2. 7-10 slide outline (60 words each)
- Slide 1: context (why this quarter / market signal · skip 30 pages of setup)
- Slides 2-3: north star + 3 supporting metrics, current state
- Slides 4-6: 3 bets, one slide each (each = hypothesis + first milestone + risk)
- Slide 7: cuts (transparent list of what we didn't do, with reasons)
- Slide 8: dependencies + asks (what we need from eng / sales / leadership)
- Slide 9: metric check-in cadence (mid-Q review approach)
- Slide 10 (optional): open questions

## 3. Transparency audit (40 words)
3 things leadership might "want to know but you didn't volunteer". e.g. why feature X was cut / team capacity reality / last quarter mis-bet.

## 4. Peak slide (20 words)
Usually the "why we cut Y" slide — leadership will ask, so own it.

## 5. Q&A pre-draft (3 items, 30 words each)
- One challenging bets (why these 3 not the other 3)
- One challenging capacity (can the team really finish)
- One challenging the metric (is the north star still right)

# Boundaries
- Must include a cuts slide. No cuts = leadership doesn't trust you.
- Every bet has a falsifiable hypothesis.
- 7-10 slides max.
Saves ~90 min per use

Open directly on your favourite AI

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Workflow · 5 steps

  1. 1

    T-48h before presenting: lock down bets + cuts + metrics yourself. Unclear here = the deck won't write.

  2. 2

    Run in Claude (strongest at PM reasoning). Fill all 6 placeholders.

  3. 3

    Audit the cuts slide — is it actually transparent? Without naming specific cut features, leadership will ask privately.

  4. 4

    Run the transparency audit. The three things you instinctively want to hide MUST go in the deck.

  5. 5

    Rehearse. Simulate Q&A. Get an engineering lead to pressure-test the capacity question.

Verify before you ship

AI's "almost right" is the #1 pain. Tick these off so reviewers can't find the obvious holes. (Checkbox state stays local — we don't track it.)

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Why this prompt works

This prompt isn't a generic “write me a Slide Deck Outline”. It folds in the concrete context a Product Manager actually faces (target reader, info density, deliverable format). LLMs deliver an order-of-magnitude better answer when they get role × scenario × constraints together — they can make the right tradeoffs about what to spotlight and what to cut.

When to use

Best moment: you know roughly that you need to do a Slide Deck Outline, but you're stuck on “how do I even ask the AI?” Muscle memory has no template. Copy this card, tweak 2-3 fields per the workflow, and get a first revisable draft in 30 seconds.

Common pitfalls

  • Send without tweaking placeholders · the draft reads as default-GPT and your reviewer spots it in 3 seconds.
  • Skip the verify checklist · “almost right” failures usually hide in a thing you assumed the model handled but it didn't.
  • Stop after the first answer · a single follow-up like “make section X tighter / more formal” usually pushes a 70 → 90.

Variants & extensions

Want to use this card more aggressively? Three extensions:

  • Swap languages: both EN/ZH prompts ship in the card — use the EN version when shipping to a Western audience.
  • Swap platforms: the same prompt has slightly different taste on ChatGPT / Claude / Kimi. The recommended-platform pill marks the best fit.
  • Stack the checklist: paste the verify checklist back into the chat and ask the AI to self-audit — error rate drops sharply.
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