Write a launch-day run-of-show with posts and a reply plan
An hour-by-hour launch-day schedule with ready-to-post social copy, monitoring duties, and escalation rules.
The prompt
Create a launch-day run-of-show for me. This is step 4 of a launch pack; it works on its own, but paste your countdown plan (step 1) and announcement copy (step 2) if you have them.
What's launching and the main link: [DETAILS]
Launch date and time zone: [DATE, TIMEZONE]
Channels going live: [e.g. email, LinkedIn, X, Product Hunt, community, partners]
Team on duty and their hours: [NAMES/ROLES + availability]
Key assets ready: [blog post, demo video, screenshots, offer code]
Known risks: [e.g. signup bugs, server load, payment issues]
Target reply time for comments and questions: [e.g. within 30 minutes]
Return:
1. Run-of-show table: Time | Action | Channel | Owner | Copy or asset | Check (link works, tracking tag present).
2. Ready-to-post copy: one post per channel in that channel's native format (LinkedIn: story-led, under 1,300 characters; X: a hook post plus a short thread; community: helpful, non-salesy). Include a team version that colleagues can personalize, not copy-paste.
3. Monitoring rota: who watches comments, support inbox, and dashboards, and how often.
4. Reply guidelines: respond within my target reply time; thank, answer, or route; never argue in public.
5. Escalation rules: what counts as a launch-stopping issue (e.g. checkout broken), who decides to pause promotion, and a holding message to post if something breaks.
6. End-of-day snapshot: the 5 numbers to record before signing off.
Use [CONFIRM] for any time, link, or number I haven't given.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- DETAILS
- DATE, TIMEZONE
- e.g. email, LinkedIn, X, Product Hunt, community, partners
- NAMES/ROLES + availability
- blog post, demo video, screenshots, offer code
- e.g. signup bugs, server load, payment issues
- e.g. within 30 minutes
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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