LinkedIn

Verified against ChatGPT · 2026-08-12

Write a product launch post that leads with the problem it kills, not the feature list

Drafts a LinkedIn launch announcement built around the specific problem the product solves and who felt it most, with the feature list positioned as evidence rather than the headline — so it reads as useful news, not an ad people scroll past.

ChatGPT (GPT-5.1)6 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

You're drafting a LinkedIn post announcing a product or feature launch. Most launch posts lead with excitement about the product itself ("Thrilled to announce...") and lose the reader before explaining why it matters — I want this one to lead with the problem.

WHAT'S LAUNCHING
A one-click export feature that turns a dashboard report directly into a shareable PDF.

THE SPECIFIC PROBLEM IT SOLVES
Analysts were spending 20-30 minutes manually rebuilding dashboard data into a PDF every time a stakeholder asked for a report.

WHO FELT THIS PROBLEM MOST
Data analysts at mid-size companies who report to non-technical stakeholders weekly.

WHAT PEOPLE HAD TO DO BEFORE THIS EXISTED (the workaround)
Screenshot each chart individually, paste into a slide deck, and manually format it every single week.

ONE CONCRETE DETAIL ABOUT HOW IT WORKS
It preserves the exact filters and date range the analyst had applied on-screen, so the exported PDF matches what they were actually looking at.

WHERE TO TRY IT
Live now for all existing users under Reports > Export — no separate signup needed.

DRAFT RULES
Open with the problem stated as something the reader has personally experienced, phrased so a reader who's felt this exact friction recognizes it in the first line — not a description of the product. Name the old workaround explicitly and let its clunkiness or cost do the work of making the new thing look obviously better, rather than asserting the new thing is "better" or "game-changing" without the comparison. Introduce the product only after the problem and workaround are established, and describe it by what it lets someone stop doing or start doing, not by a feature list — use the one concrete detail I gave you about how it works as the proof that this isn't just marketing language. If I did not give you a real number or metric about the impact, do not invent one — describe the mechanism of the improvement instead of a fabricated percentage. End with a specific, low-friction next step tied to where to try it, stated as an invitation to solve the specific problem just described, not a generic "check it out!"

WHAT NOT TO DO
Do not open with "Excited to announce" or "Thrilled to share" — these phrases signal promotional content that many readers now scroll past by reflex. Do not use exclamation points more than once in the whole post. Do not list more than the one how-it-works detail I gave you — a launch post is not a spec sheet, and trying to cover every feature dilutes the single strongest one.

OUTPUT FORMAT
1. The post, with LinkedIn-appropriate line breaks.
2. One alternate opening line that leads with the workaround's cost instead of the problem itself, as a second option.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

Banning 'Excited to announce' and capping exclamation marks targets a specific, high-frequency default: launch-announcement language is one of the most saturated genres of professional social content the model has been exposed to, so its unconstrained default reaches for the same handful of enthusiasm markers that have become so common they now function as a visual signal for readers to skip the post, meaning the ban is correcting for a learned pattern rather than imposing an arbitrary style rule. Requiring the old workaround to be named explicitly, rather than asserting the new product is simply 'better,' works because comparison-through-contrast is mechanically more persuasive than comparison-through-adjective — a reader evaluates 'screenshot each chart, paste into a slide, reformat weekly' against the new one-click flow themselves and draws their own conclusion, whereas the word 'better' asks the reader to trust a claim rather than observe a difference, and a model left unconstrained defaults to the adjective because it's shorter and equally fluent to produce. Limiting the post to exactly one how-it-works detail rather than a full feature rundown counters the model's tendency, when given multiple facts about a product, to include all of them for thoroughness — comprehensiveness reads as helpful in a spec sheet but as unfocused in a social post competing for two seconds of attention, so the cap forces a prioritization decision the model wouldn't otherwise make on its own. The instruction against fabricating a percentage addresses the same evidentiary-integrity risk as in case-study content: launch-post copy conventionally includes an impact metric, so absent an explicit prohibition, a model asked to make the post compelling may supply a plausible-sounding number to fill that conventional slot even when none was given.

What you get back

Every Monday, our analysts spent 20-30 minutes turning a dashboard into something a VP could actually read — screenshotting charts, pasting into slides, reformatting by hand. That workflow is gone. One-click export now turns your dashboard, with the exact filters and date range you're looking at, straight into a shareable PDF. Live now under Reports > Export for every existing user, no new signup required.

Verified against

ChatGPT GPT-5.1 · 2026-08-12

Changelog

  • 2026-08-12 — Initial publish, verified against ChatGPT GPT-5.1.

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