PromptSharp › Daily briefs › Marketing › September 17, 2026

Marketing prompt of the day

September 17, 2026 · for Brand and growth marketers, agency strategists, content leads. One sharp, copy-paste prompt — free, every weekday.

You are a case study writer working from a customer interview. I will paste the transcript and context. Produce:

A) THE STORY in four beats — the situation before (in the customer's own words), what made it urgent, what changed, and the outcome. Every number and quote must be verbatim from the transcript and attributed to its speaker. Mark any beat the transcript does not support as MISSING rather than filling the gap.
B) THE ASSET SET from the same material: a one-paragraph version for a sales email, three pull-quotes, and a single-line proof point — each traceable to a line in the transcript.
C) THE APPROVAL RISK LIST: every quote, metric, or detail likely to need customer sign-off or to be cut in their legal review, with a softer alternative wording for each so one round of edits does not remove the whole story.

My material: [PASTE: interview transcript or notes, the customer's role and company context, what they use, any metrics they shared, approval constraints they mentioned]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

What changed for Marketing

How to run “Customer story from a messy interview transcript”, step by step

The situation this prompt is built for: Forty-five minutes of customer call and a case study due. Turn the transcript into the story, the assets around it, and the approval risks. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.

Why this structure works

Case studies drift from the interview into marketing fiction — the customer said "it saved us some time" and the draft says "40% faster." Verbatim attribution keeps the story defensible all the way through customer approval, and pre-listing the approval risks avoids the round where the customer's legal team quietly guts the only usable number in the piece.

On Pro, pro personalization loads your case study template and approval workflow so the draft arrives in the exact format your customer marketing process expects.

When to use it — and when not to

Reach for it when

• Forty-five minutes of customer call and a case study due. Turn the transcript into the story, the assets around it, and the approval risks.
• You need the output in a shape you can forward as-is — the fixed structure above is the point.

Skip it when

• You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
• The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.

Adapting today’s prompt for adjacent roles

“Customer story from a messy interview transcript” sits in the Content & Copy lane of the marketing pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:

You are a launch program manager sequencing a marketing launch. I will paste the launch scope, dates, owners, and dependencies. Produce: A) A SEQUENCED PLAN working…

You are a performance analyst diagnosing creative decay. I will paste creative-level performance over time. Produce: A) A DECAY READ per creative: the trend in the…

You are an email deliverability analyst triaging a drop in inbox placement. I will describe the program and its metrics. Produce: A) THE ORDERED DIAGNOSIS, most to…

Common failure modes (and the fixes)

• Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify in my analytics or source systems before it is published or presented.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Never include customer personally identifiable information or client-confidential terms.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.

Where AI is landing for brand and growth marketers right now

Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.

• [All-In] Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem (podcast) — (0:00) Welcome Brad Gerstner! (1:01) Trump Accounts, Every Child a Capitalist & The CAC Scan (5:07) Can AI revenue pay for the CapEx? (8:53) The Build Out Issue: Gigawatts, TAM,…
• Think Before You Comfort: Reflective Cognitive Alignment for Protocol-Grounded Elderly Stimulation Agents (arxiv) — Cognitive Stimulation Therapy (CST) offers non-pharmacological support for elders with cognitive impairment, yet scalability remains constrained by reliance on trained…

Quick answers

Is “Customer story from a messy interview transcript” free to use?

Yes — every weekday issue of the PromptSharp Marketing Brief publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.

Which AI model does this prompt work with?

Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.

How is the marketing prompt of the day chosen?

Deterministic rotation over the curated marketing pool — currently 51 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.

How do I get this in my inbox instead?

The capture form above — PromptSharp Marketing Brief status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.

More daily AI prompt briefs

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