CHATBOTS
Slack Bot Answer Feedback Logger
Captures thumbs-up/down reactions on helpdesk bot answers in Slack and logs each rating with the question and answer to Supabase for quality tracking.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack reaction_added eventSlack
- LogicIs it a 👍/👎 on a bot answer?
- ActionFetch question and answer from threadSlack
- OutputLog rating to SupabaseSupabase
What it does
Measures whether the helpdesk bot is actually helping. When a user reacts to a bot answer with a thumbs-up or thumbs-down emoji, the workflow records the question, the answer, the rating, and the rater in a Supabase analytics table you can query to find weak spots in your knowledge base.
When to use it
After your Slack KB bot is live and you want hard data on answer quality instead of guessing. Use it to surface frequently down-voted topics that signal missing or stale documentation.
How it works
- 1A Slack `reaction_added` event fires when someone reacts to a message.
- 2A logic step filters for the bot's own answer messages and only the configured 👍/👎 emojis, dropping everything else.
- 3The original bot answer and the question it replied to are fetched from the thread.
- 4A row is inserted into the Supabase feedback table with rating, text, user, and timestamp.
- 5The flow ends silently so the channel stays uncluttered.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect SupabaseTables, auth, storage, edge functions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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