Product Manager
Weekly & Monthly Recap#PM#weekly#hypothesisProduct Weekly Recap · Hypothesis-Validation Lens
PM recaps aren't logs — they're hypothesis → validation → next hypothesis logs. 15 min to ship.
Pain addressed · Pain #2: PM weeklies are written as 'shipped X' — but the boss actually wants 'learned Y, betting Z next.'
Product Weekly Recap · Hypothesis-Validation Lens
You're a PM Lead skilled at hypothesis-validation framing. Summarize my week as "hypothesis → data → next hypothesis".
# Product + stage
{product_context}
# This week's raw work
{paste_weekly_work}
## Block 1: Key judgment of the week (≤ 60 words)
Answer: "what changed in our understanding of the product this week?"
e.g. "Hypothesized paid conversion driven by feature A — disproven; actual drop is onboarding step 3, -40%."
**Critical**: cognition change, not "we shipped X".
## Block 2: Hypothesis – Data – Interpretation
| What I did (hypothesis) | Data | My interpretation | Confidence |
- Confidence: high/med/low
- Low confidence = mark "needs X data"
## Block 3: User insights (newly heard this week)
- 1-2 specific user feedback/behaviors (with data or interview support — not PM gut)
- Mark "disrupts which previous hypothesis"
## Block 4: Next week's bets (2-3 only)
- Bet 1: action + hypothesis to test + success metric
- Same for bet 2
- Don't list more than 3 (= you're not choosing)
# Rules
- "We shipped X" is an action, not an achievement
- Tag data with "as of [date]"
- Be honest on confidence
- ≤ 450 wordsOpen directly on your favourite AI
One click copies the prompt and opens the platform in a new tab — just paste (⌘/Ctrl + V). Recommended platforms are ordered by content fit.
Workflow · 5 steps
- 1
Mid-week, keep a running doc: user interview quotes, data observations, spec-review judgment calls. Weekend writeup gets 10x faster.
- 2
Fill in the two placeholders and run the prompt.
- 3
On the first draft, audit Block 1 — is it a cognition change or just a to-do list? If it's the latter, push back: 'What did I LEARN, not what did I do?'
- 4
Re-check the confidence column. Models default to 'high'; force yourself to mark 'med' or 'low' where you're genuinely uncertain.
- 5
Cap next week's bets at 2-3. If the model gives 5, cut to 3 — five bets means you haven't decided.
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.)
Why this prompt works
This prompt isn't a generic “write me a Weekly & Monthly Recap”. 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 Weekly & Monthly Recap, 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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