Product launch support checklist: what to set up before traffic triples

Launch day triples your support volume on exactly the day your availability drops to zero. You are refreshing the Product Hunt comments, replying to a Hacker News thread that is turning into a debate about your tech stack, posting updates on X, and somewhere in another tab, a dozen visitors are asking whether there is a free plan.

Most founders solve this by ignoring the chat widget until the evening. That is backwards. Launch visitors are the warmest traffic you will ever get, and they bounce in minutes when a question blocks them. Someone who asks about pricing at 10:14 and gets an answer at 19:30 has already signed up for something else.

The fix is not multitasking harder. It is prepping support before launch so the repetitive 80 percent answers itself instantly, and the 20 percent that actually needs you reaches your phone between comment replies. Here is the checklist I run. It fits in one afternoon.

Why launch day support breaks

On a normal day, a small product gets a handful of conversations and you answer them whenever. On launch day you get dozens or hundreds, compressed into a few hours, while your attention is locked to comment threads where reply speed feeds the ranking algorithm. Two jobs compete for the same brain.

The saving grace: launch questions are brutally predictable. Across every launch I have run or watched, the same list shows up.

• →Pricing, trials, and whether there is a free plan
• →How you compare to whatever tool they use today
• →Roadmap: does it do X, and if not, when
• →Where the data lives, GDPR, security basics
• →Discount and deal requests, because launch crowds love a code
• →A few real bugs, because launch traffic finds edge cases fast

Almost none of these need you personally. They need a fast, accurate answer. That is what the checklist sets up.

The week before: six things to set up

1. Import your docs so the AI answers the repetitive 80 percent

muro's AI auto-reply grounds itself on your published help articles and product context, and you train it by importing a URL. Point it at your docs or FAQ page and it answers the pricing, setup, and does-it-do-X questions instantly, at 2 pm and at 2 am.

If your docs are thin, write the articles that map to the question list above first: a pricing and trial FAQ, a getting started guide, a data and privacy page, and a short page per major feature. One hour of writing before launch replaces fifty identical chat replies during it.

The behavior that makes this safe on a high-stakes day: the AI hands off to a human when it is unsure, and always for refunds, account issues, and angry messages. It does not improvise on the conversations that could burn you publicly.

2. Write 5 to 10 saved replies for the predictable questions

Saved replies cover the questions that deserve a human voice but not fresh typing every time. On launch day they turn a three minute phone-keyboard answer into a ten second one. Write these before you launch:

• →Pricing and trial: one paragraph, a link to your pricing page, what the trial includes.
• →Comparison: an honest three sentences on who your product is for and who it is not for. Launch crowds respect candor and screenshot it.
• →Roadmap: what is shipping next, plus a question back about their use case.
• →Discount ask: your real policy, whether that is a launch code or a warm no.
• →Refunds: your actual policy in plain words. This one pairs with the AI handoff.
• →Bug report: the three things you need (browser, steps, screenshot) so round two of the conversation is useful.
• →Press or partnership: where to send them so it does not clog the queue.
• →Something broke: a holding reply for the moment launch traffic finds the edge case you missed.

3. Set automation rules to tag launch traffic

muro's automation rules fire on new conversations or new visitor messages, check conditions like whether the message contains a keyword, and can add a tag automatically. Set up two rules before launch:

• →Tag every new conversation during launch week with something like launch-jul.
• →Add an urgent-billing tag when a message contains refund, billing, or charge, so those jump out of the queue.

The launch tag earns its keep twice. During the day it lets you filter the inbox and spot patterns while they are happening. Afterwards it turns your launch into a clean dataset you can mine, which is the whole last section of this playbook.

4. Turn on email forwarding so the inbox reaches your phone

You will not sit at the support inbox on launch day, and you should not. With email forwarding on, every conversation lands in your mail, and reply-by-email means you answer straight from your phone's mail app between two comment replies. The visitor sees your response in the widget as if you had been at your desk.

Test it before launch: message your own widget from an incognito tab, wait for the forwarded email, reply from your phone, and confirm the answer shows up in the conversation.

5. Add teammates, it costs nothing extra

Both muro plans come with unlimited agents, so adding people to the inbox costs nothing (see pricing for the details). Add your cofounder. Add the friend who offered to help with the launch. Add someone non-technical and hand them the saved replies: with those written, triage does not require product depth.

Agree on a split before the day starts. A common one: you own the comment threads, they own the inbox, and anything tagged for billing pings you.

6. Put the widget where launch traffic actually lands

Launch visitors do not enter through your app. They hit your landing page, your pricing page, and whatever special launch page you made. Make sure the widget is on all of them:

html<script>
  (function(w,d,s,o){
    w.MuroChat=o;w[o]=w[o]||function(){(w[o].q=w[o].q||[]).push(arguments)};
    var j=d.createElement(s);j.async=1;j.src='https://muro.chat/widget.js';
    d.getElementsByTagName('head')[0].appendChild(j);
  })(window,document,'script','muro');
  muro('init',{widgetId:'YOUR_WIDGET_ID'});
</script>

The widget is about 6 KB and loads async, so it will not hurt your Core Web Vitals on the one day everyone is screenshotting your landing page. If you want to see the whole flow from the visitor's side first, poke at the live demo.

During launch: the operating mode

With the prep done, launch day support runs in layers. The AI instantly answers everything your docs cover. Anything touching refunds, accounts, or frustration gets handed to a human. Saved replies handle the personal-but-predictable middle. Your actual job shrinks to a loop:

1. 01Every 20 or 30 minutes, check your mail between comment replies.
2. 02Answer handoffs and anything tagged for billing first. Those are the conversations that turn into public complaints when ignored.
3. 03Fire saved replies at the discount asks, press pings, and comparison questions, with one personalized line on top.
4. 04Leave everything else for an evening pass. It is either already answered or it can wait.

One thing to resist: do not switch the AI off because you want launch day to feel artisanal. The visitor asking how the trial works at 3 am your time does not want artisanal. They want the answer.

After launch: mine the conversations

Two or three days later, filter the inbox by your launch tag and read every conversation. This is the least glamorous part of the checklist and the most valuable. You are looking for four things.

• →FAQ gaps: every question the AI handed off or fumbled is a missing or unclear help article. Write it, re-import your docs URL, and the next traffic spike self-serves better.
• →Objections: the questions people asked right before going quiet are your real positioning problems. Fix the landing page copy, not just the docs.
• →Feature signals: one person asking for X is noise. Five people asking for X in the same wording, on the same day, is a roadmap input with receipts.
• →Vocabulary: launch visitors describe your product in their own words. Those phrases make better landing page copy and better long-tail SEO targets than anything you will brainstorm.

An hour of reading here is worth more than the upvote count. The launch ends. The conversations tell you what to build next and how to sell it.

The whole checklist in one place

1. 01Import your docs or FAQ URL so the AI can ground its answers.
2. 02Write 5 to 10 saved replies: pricing, comparison, roadmap, discounts, refunds, bugs, press.
3. 03Add automation rules that tag launch week conversations and flag billing keywords.
4. 04Turn on email forwarding and test reply-by-email from your phone.
5. 05Add teammates and agree on who owns the inbox during the day.
6. 06Check the widget is on the landing, pricing, and launch pages.
7. 07Optional: paste your own Claude API key if you expect a serious spike.
8. 08Dry run: ask your own widget your five most likely questions and fix whatever the AI gets wrong.

If none of this exists yet, it is one afternoon of work: create a site in muro, paste the snippet, point the AI at your docs, and write the saved replies while the import runs. The trial is 14 days with no card, which is enough runway to set everything up, dry run it, and launch with support that does not depend on you being in twelve places at once.