PROMPTSHARP DAILY — Issue #091 — Thu, Aug 27, 2026
Get better at AI at work — one workflow, one prompt, one skill a day.
▸ USE AI TODAY — Turn a page of rough notes into a finished deliverable
Dump your messy notes and say: 'Turn these into a [client email / one-pager / proposal outline]. Flag anything that's missing or contradictory.'
1. Paste raw notes (typos fine).
2. Name the output format.
3. Ask it to flag gaps, then fill them.
Why it works: The gap between 'I have thoughts' and 'I have a document' is where hours go. The model closes it and even tells you what you forgot.
⌘ TODAY'S PROMPT — Trade promo post-mortem that tells the truth
When: The event is over and the lift number looks good in the deck. Did the promotion actually pay, or did it just buy volume forward?
--- copy & paste ---
You are a trade promotion analyst writing an honest post-event review. I will paste the event results. Produce:
A) A VERDICT — paid out, broke even, or bought volume forward — with the arithmetic shown step by step using only the numbers I provide (base vs incremental volume, lift, deal depth, feature/display support, event cost if I have it). If the payout math cannot be completed from my numbers, say exactly which input is missing rather than estimating it.
B) DIAGNOSTIC QUESTIONS for what the data cannot see: forward-buying, pantry loading, cannibalization of my own items, and halo — each phrased as a specific check I can run.
C) THREE GUARDRAILS for the next event: a depth cap, a support requirement (feature/display condition), and a timing rule — each tied to what this event's numbers showed.
Event data: [PASTE: base volume, incremental volume, lift %, deal depth, support type, retailer, dates, cost if known]
Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in the data I give you, write "not provided" and flag it. Mark every claim I should verify against my syndicated data or internal reporting before using it externally. Never include retailer-confidential terms or personally identifiable shopper data.
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Why: Trade is most CPG companies' second-largest cost line and the post-mortem is usually a victory lap. Making the model show its payout arithmetic — and admit which inputs are missing — is the difference between a real read and a slide that launders a bad event.
✦ Level-up tip (get better at AI): For anything complex, break the ask into steps: outline first, then draft section by section. Big single asks produce shallow results; staged asks go deep.
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Today's vertical: PromptSharp CPG (Trade promo post-mortem that tells the truth)
AI prompts for consumer-goods work — category reviews, concept screens, retailer decks, syndicated-data reads, launch post-mortems..
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More prompts from the network:
· PromptSharp Sales — AI prompts for the revenue floor — account research, discovery prep, objection maps, proposal drafts, pipeline reviews.. Full prompt: Trigger triage: which alerts are buying signals and which are noise. Read today's Sales issue: https://promptsharp.ai/daily/sales/2026-08-27. Subscribe free: https://promptsharp.ai/sales#subscribe. Suggest a topic: [email protected].
· PromptSharp Consulting & Strategy — AI prompts for structured problem-solving — issue trees, market sizing, interview guides, storyline decks, synthesis memos.. Full prompt: Interview synthesis: turn ten transcripts into three defensible findings. Read today's Consulting & Strategy issue: https://promptsharp.ai/daily/consulting/2026-08-27. Subscribe free: https://promptsharp.ai/consulting#subscribe. Suggest a topic: [email protected].
· PromptSharp Health & Fitness — AI prompts for training and healthy habits — workout planning, meal prep, habit tracking, recovery check-ins. Full prompt: Habit design that survives the week it usually dies. Read today's Health & Fitness issue: https://promptsharp.ai/daily/health-fitness/2026-08-27. Subscribe free: https://promptsharp.ai/health-fitness#subscribe. Suggest a topic: [email protected].
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