CUSTOMER SUPPORT
Front Daily Frustration Digest and Recovery Queue
Runs each morning to scan the prior day's Front conversations, ranks the most frustrated unresolved threads, and posts a prioritized recovery queue to Slack for the support lead.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily morning schedule
- ActionFetch prior day's Front conversationsFront
- ActionScore each thread for cumulative frustrationOpenAI
- LogicFilter unresolved threads and rank by severity
- ActionFormat prioritized recovery digestOpenAI
- OutputPost recovery queue to SlackSlack
What it does
Instead of reacting message by message, this runs on a schedule and looks back over the last 24 hours of Front activity. It scores every conversation for frustration, filters to threads still open or unresolved, ranks them worst-first, and delivers a single prioritized recovery queue so the support lead knows exactly where to spend the morning.
When to use it
Use it as a daily standup input for support leads who want one ranked list of at-risk customers rather than a stream of real-time pings. It catches slow-burn frustration that no single message would trip.
How it works
- 1A scheduled trigger fires each morning.
- 2The prior day's Front conversations are fetched in a batch.
- 3An LLM scores each conversation for cumulative frustration and resolution status.
- 4A filter keeps only unresolved, frustrated threads and ranks them by severity.
- 5The model formats a digest with the top threads, scores, and a one-line next step each.
- 6The digest posts to the support lead's Slack channel with Front links.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect OpenAIModels, embeddings, files.
- 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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Run this workflow in your colony.
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