Test your product launch narrative before launch day

The setup

Every launch team has two stories: the one they write, and the one the market retells. They are never the same story. The gap between them is where launches quietly fail — not because the product was wrong, but because the framing collapsed into something less flattering on first contact.

This scenario rehearses that first contact. The decision on the table is which framing to lead with, and you bring two candidates. The audiences are the five that actually determine a launch’s first week: your customers, the press, the professional skeptics, your competitors’ communities, and the single-issue commentators who will read your announcement looking for their issue. The trigger is the launch package itself; the horizon is seven days.

The reason to run this in MiroFish rather than a messaging workshop is retelling. Workshop feedback tells you what people think of your copy. A multi-agent simulation shows you what happens when audience B only ever hears your message through audience A’s summary of it — which is how most of the real world will encounter your launch.

The prompt

Copy this into MiroFish as your scenario question, swapping the specifics for your own:

We launch a new AI-assisted editing feature next Thursday with a blog post, a demo video, and an email to 40,000 users. Simulate the seven days after launch across five audiences: existing customers, tech press, industry skeptics on social media, competitors' communities, and privacy-focused commentators. Tell me which of our two candidate framings — 'your editor, faster' versus 'the first editor that rewrites with you' — survives contact with each audience, where the message gets distorted, and which distortion is most likely to dominate by day 7.

Seed files that help

• The draft launch post and both candidate taglines — the simulation is only as honest as the copy you actually plan to ship.
• Three or four representative reviews or threads about your product today, so the graph starts from real sentiment instead of a blank slate.
• A short note on each competitor and their last launch, which gives the skeptic and competitor agents realistic material to work with.

What to look for in the report

• Message survival rate: how much of your intended framing is still intact when audiences describe the product to each other in later rounds.
• The distortion with legs: every launch story mutates — the report shows which mutation spreads fastest and whether it helps or hurts.
• Skeptic capture: whether the skeptic cluster stays isolated or successfully recruits neutral audiences by the end of the week.
• Second-wave lift: whether coverage begets coverage after day 3, the difference between a launch and a press release.