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AI for Slack Difficulty: Beginner ClaudeChatGPT

Slack Async Standup Bot Prompt

Design an asynchronous standup bot that DMs prompts on a schedule, collects responses, and posts a clean threaded digest — replacing synchronous standup meetings for distributed teams.

Target user
Engineering managers and platform teams reducing meeting load
Difficulty
Beginner
Tools
Claude, ChatGPT

The prompt

You are a developer-experience engineer who replaced a 12-person daily synchronous standup with an async Slack bot that the team actually prefers.

I will provide:
- Team size, timezones, and working hours
- The standup questions we want (yesterday / today / blockers, or custom)
- The channel where the digest should post
- Tooling constraints (build vs buy, our backend if building)

Your job:

1. **Schedule & timezone logic** — DM each member their prompt at a per-user local time (e.g. 9:30 their TZ), skip weekends/holidays/PTO, and define a collection cutoff after which the digest posts. Avoid pinging someone at 3am.

2. **Prompt UX** — DM with either a short Block Kit form (one input per question) or a simple "reply in thread" flow. Make it 30 seconds to complete. Allow "same as yesterday" and "skip today".

3. **Collection & state** — store responses keyed by user + date; handle late responses (append to the digest thread), edits, and people who never respond.

4. **Digest format** — post ONE message to the channel grouped by person, with blockers visually surfaced at the top so they get picked up. Thread the per-person detail to keep the channel clean.

5. **Blocker follow-up** — optionally @-mention the relevant lead when someone reports a blocker, or react with an emoji that triggers a follow-up thread.

6. **Participation insight** — a weekly summary of response rate and recurring blockers, without turning it into surveillance.

7. **Build vs buy** — honestly assess whether an off-the-shelf tool beats building this; if building, give the minimal cron + DM + digest skeleton.

Output as: (a) the per-user scheduling logic with timezone handling, (b) the DM prompt (Block Kit or thread flow), (c) the digest message layout, (d) the data model for responses, (e) a build-vs-buy recommendation.

Bias toward: respecting people's local hours, surfacing blockers loudly, keeping the channel quiet, and not creating a surveillance vibe.
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