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Product ManagerBoss Update (CN-only)#PM#manager update#founder

PM Boss Update · Weekly 5-Bullet to Founder

In a founder-led company, the PM's weekly 5-bullet update isn't a recap — it's ship + learn + ask + risk + bet, so the founder never has to chase you.

Pain addressed · In founder-led companies PMs fail on information asymmetry — the founder hears about product issues from someone else before the PM does. Trust breaks. A weekly update is muscle.

PM Boss Update · Weekly 5-Bullet to Founder

Prompt·Beginner
Also available in 中文 →
You're my PM upward-update partner. I'm a PM at a founder-led company. Help me write this week's 5-bullet update for the founder (< 250 words).

# This week's PM work
{paste_weekly_pm_work}
Includes ship / metric change / user feedback / major decisions / cross-team friction / risks. Order doesn't matter.

# Founder's recent focus (from your last 1:1)
{founder_focus}

# 5-bullet format (each ≤ 50 words)

## Bullet 1 · Ship (what shipped this week)
Not "kept moving" — specific ship + number / metric.

## Bullet 2 · Learn (one product judgment update)
One specific mental model update (users / metric / team). e.g. "User A's use case is higher-frequency — our positioning was off".

## Bullet 3 · Ask (one thing the founder needs to decide)
One specific decision + your preferred call + deadline. Not "want to chat".

## Bullet 4 · Risk (one risk you're handling but the founder should know)
One risk + your action + kill criteria (when to escalate).

## Bullet 5 · Bet (next week's one bet + hypothesis)
"Next week I'm betting on X, hypothesis is Y, Friday I check metric Z."

# Boundaries
- Total < 250 words. Longer = founder doesn't read.
- One thing per bullet — don't pack three in.
- The Ask bullet must include your preferred call. Don't punt the decision to the founder.
Saves ~30 min per use

Open directly on your favourite AI

One click copies the prompt and opens the platform in a new tab — just paste (⌘/Ctrl + V).

Workflow · 5 steps

  1. 1

    Friday 5pm: dump the week's ships / metrics / feedback / risks into one block.

  2. 2

    Run in Claude (best at concise judgment-led writing). Fill the 2 placeholders.

  3. 3

    The Ask bullet must include your preferred call. Models default to neutral — be willing to say 'I recommend X'.

  4. 4

    The Risk bullet must show what you're already doing. Don't pass the can to the founder.

  5. 5

    Send Friday 7pm. Don't send after 9pm (founder is off). No follow-up — silence = it's fine.

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.)

Done 0 / 5 checks

Why this prompt works

This prompt isn't a generic “write me a Boss Update (CN-only)”. 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 Boss Update (CN-only), 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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