TL;DR
Paste your stack and channels into the prompt below, and ask the AI for a launch-day checklist split into four sections — Tech, Content, Comms, Analytics — with each item tagged by owner, timing (D-1 / morning-of / hour-of / during), a “can’t-fail” flag, and a verification step. Then trim its generic items and add the three that always get missed: a fired-and-confirmed analytics test event, a named rollback decision-maker, and cross-platform copy/image consistency. Two walkthroughs (60 min the day before, 30 min the morning of) catch what the list alone won’t.
The task
You are launching this week. Maybe a Product Hunt push, an app store release, a website unveiling, or a new feature behind a flag. Launch days die from missed basics: the tracking pixel never fires, the screenshot is wrong on one platform, “Coming soon” still sits in the footer. The job is a checklist grouped by responsibility so you can walk it twice — once the day before, once the morning of — and so every item has a named owner, not a department.
When AI helps, and when it does not
AI is good at enumerating standard launch items across tech, content, comms, and analytics, and at surfacing the things you forget under pressure. It does not know your specific stack, your Product Hunt timing, or which event in your analytics counts as a conversion. So feed it your hosting, analytics, social channels, payment, and email tools, and it returns items that map to your setup instead of a generic SaaS template.
One hard limit: the AI cannot verify anything for you. “Tracking pixel installed” is not the same as “test event seen in the dashboard.” Treat every can’t-fail item as unchecked until a human confirms it with their own eyes.
What to feed the AI
- Product type (web, app, SaaS, hardware, content)
- Launch channels (Product Hunt, X, LinkedIn, app stores, press, email, paid)
- Audience and the one action you want them to take
- Tools / stack (hosting, analytics, CRM, payment, email)
- Risk tolerance (if PH ranks below #5 by noon, do we still push? If the site goes down at 9 a.m., who is on call?)
- Past launch lessons (what broke last time)
Copy-ready prompt
Build a launch-day checklist.
Product: [type]
Launch channels: [list]
Audience and primary action: [one line]
Tools / stack: [hosting, analytics, CRM, payment, email]
Risk tolerance: [one line]
Past launch lessons: [list]
Group items into:
1. Tech — site up, payments live, error monitoring, fallback page
2. Content — copy, images, video, screenshots, alt text, OG cards
3. Comms — channel posts, press, support replies queued, internal channel
4. Analytics — tracking pixels, UTM links, GA4 key events, conversion API
For each item give me:
- One-line description
- Owner role (I will assign a name)
- "Can't-fail" flag if launch should not proceed without it
- Verification step (how someone confirms it is done, not just configured)
- When to do it: D-1 / morning-of / hour-of / during
Then produce:
- A D-1 walkthrough script (60 min)
- A morning-of walkthrough script (30 min)
- A rollback decision tree — if X breaks, the named owner does YApp-store variant: add a line — “Include Apple/Google specifics: TestFlight invite list closed, store screenshots per locale, support URL live and reachable, age rating set, App Privacy / Data safety section complete.”
Which AI to use for this
Any current model handles a checklist, but a few differences matter for a structured, repeat-use list (as of June 2026):
| Tool | Why it fits a checklist | Cost |
|---|---|---|
| Claude (Sonnet 4.6 / Opus 4.7) | Most consistent at structured output and instruction-following; holds your stack details across a long thread. Free tier covers a one-off list. | Free; Pro $20/mo |
| ChatGPT (GPT-5.5) | Projects + Memory let you reuse the same launch template across releases without re-pasting context. | Free; Plus $20/mo |
| Gemini 3.1 Pro | Best if your stack lives in Google Workspace — it can read the launch doc and write the checklist back into Docs. | Free; Google AI Pro $19.99/mo |
For a single launch, the free tier of any of the three is enough. If you launch on a cadence, save the prompt as a Claude Project or Custom GPT so the checklist stays consistent release to release. See ChatGPT vs Claude vs Gemini for the full breakdown.
Recommended output structure
A grouped table per section with can’t-fail items pinned to the top. Two short walkthrough scripts (D-1 and morning-of) at the end, and a one-page version you can print. Keep “during launch” items separate from the pre-check list — those are reactive (replying to comments, watching the dashboard, deciding whether to push paid), not things to tick off before you go live.
The three items AI usually under-specifies
The model will hand you a clean-looking list. These three are where launches actually break, so harden them by hand.
1. Analytics is checked, not just configured
“GA4 installed” tells you nothing. Open Admin → DebugView in GA4, enable debug mode (the Google Analytics Debugger Chrome extension or Google Tag Manager preview mode), then complete the real conversion action — sign-up, purchase, the button you care about. The event should appear in DebugView within seconds with its parameters, and a key event (conversion) shows a distinct marker. If the marker is missing, your event is not registered as a key event yet — fix it now, not at 9 a.m. Do this for every channel’s UTM link too, so traffic from Product Hunt vs. email shows up split, not lumped into “direct.”
2. A named rollback decision-maker
A rollback tree that lists triggers but not a person is a tree that turns every incident into a Slack debate. Write it as: “If checkout errors exceed [N] in 10 minutes, [name] flips the feature flag off and posts in [channel] — no meeting required.” One human owns the kill switch and can act without consensus. Define what “broken enough to roll back” means in numbers before launch day, when you are calm.
3. Cross-platform copy and image consistency
Same headline, same hero image, same tone across X, LinkedIn, Product Hunt, and email. The easy miss is the social card: your OG image should be 1200×630 px (1.91:1), under ~1 MB, with the headline and any face inside the center safe zone so nothing crops. Before launch, run the live URL through Facebook’s Sharing Debugger (and hit “Scrape Again” to bust the cache) and LinkedIn’s Post Inspector so the preview is correct the first time someone shares it — you do not get to re-scrape inside their feed.
Product Hunt timing notes
If Product Hunt is a channel, the schedule is fixed and worth baking into the checklist (as of June 2026):
- Launches go live at 12:01 a.m. Pacific and run until 11:59 p.m. PT. There is no later slot.
- The first 4–6 hours set the initial ranking — aim for early momentum, and reply to every comment within ~30 minutes.
- In 2026 the algorithm leans on engagement signals (comments, maker replies, time on page) and rewards bringing new users to PH, not just rallying existing supporters. A short demo video keeps people on the page; “vote for me” blasts do not move the ranking the way they used to.
That means your comms section needs an hour-of item: maker online and replying from 12:01 a.m. PT, with the launch post, first comment, and assets staged the night before.
How to check the output is usable
- Every can’t-fail item has a named owner and a verification step (not just “configured”)
- Analytics is verified with a fired test event seen in DebugView, not assumed
- Cross-platform consistency is on the list (same headline, image, tone) and the OG card has been previewed
- The rollback decision tree names who decides and the numeric trigger, not just what breaks
- Walkthrough times are realistic (60 min D-1, 30 min morning-of)
Common mistakes
- No analytics check — you launch blind for the first four hours and cannot tell which channel converted.
- Cross-platform inconsistency — a different screenshot here, a different headline there, and the audience loses the thread.
- No support coverage plan — comments, DMs, and tickets pile up while the maker is heads-down.
- A rollback tree with triggers but no name — every problem becomes a 9 a.m. meeting.
- Owner gaps — “Marketing” is not an owner; a person’s name is.
FAQ
- How long before launch should I build this? 5–7 days. Sooner and you discover real gaps with time to fix them; later and the checklist drifts from the live state of the product.
- What about a soft launch? Most items still apply, plus a “monitor and decide whether to push wider” item and a clear metric for that decision.
- Should the checklist live in Notion or on paper? Both. Checked off in Notion (or a shared doc) so the team sees status, printed for the person running the walkthrough so nothing depends on a tab being open.
- What is the single most-skipped item? A confirmed analytics test event. Teams mark “tracking installed” and never fire a real conversion to watch it land — then spend launch day arguing about whether the numbers are real.
- Can I reuse one checklist across launches? Yes, if you save the prompt as a Claude Project or Custom GPT and update the stack and channels each time. The structure is stable; the specifics change per release.
Related
- Release checklist prompts — software release-specific
- App store listing prompts — for app launches
- AI launch copy tutorial — write the launch announcements
- Project plan draft — the plan that ends in this checklist
- Feature prioritisation — what is in this launch
- Product launch copy — copy across launch channels