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Loom Standup to Daily Team Morale + Blocker Pulse
Transcribes each new Loom async standup video, scores its sentiment and pulls out blockers.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Loom standup recording postedLoom
- ActionFetch Loom video transcriptLoom
- ActionScore sentiment + extract blockers with OpenAIOpenAI
- LogicAggregate into team morale score + ranked blockers
- OutputPost morning morale + blocker digest to SlackSlack
What it does
Turns your team's async Loom standups into one readable morning pulse. Each recorded standup is transcribed, analyzed for tone and stated blockers, and rolled up into a digest that tells leads how the team is feeling and what is stuck before the day starts.
When to use it
Use it when your team replaced live standups with async Loom videos and nobody has time to watch eight clips every morning. Ideal for distributed or multi-timezone teams where managers need a fast, consistent read on morale and blockers.
How it works
- 1A new Loom recording in the team standup space fires the trigger and the transcript is fetched.
- 2OpenAI scores each transcript for sentiment (1-5), extracts explicit blockers, and flags anyone who sounds burned out.
- 3A logic step aggregates the day's standups into a single team morale score and a deduplicated, severity-ranked blocker list.
- 4The compiled digest is posted to the team's Slack channel each morning, leading with morale trend and the top blockers to unblock.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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