CUSTOMER SUPPORT

Bot Resolution Reopen Auditor

Scans recently bot-resolved Intercom tickets against a BigQuery event log and flags every conversation a customer reopened within an hour.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHourly schedule fires
  • ActionFetch bot-resolved conversations from IntercomIntercomIntercom
  • ActionQuery reopen and reply events in BigQueryGoogle BigQueryBigQuery
  • LogicKeep conversations reopened within 60 minutes
  • LogicGroup by failing bot intent and rank
  • OutputPost failed-deflection list to SlackSlack

What it does

Every hour it finds Intercom conversations a bot marked as resolved, checks BigQuery for any customer reply or reopen event on those same conversations, and surfaces the ones the customer reopened almost immediately. These are false deflections — the bot claimed a win the customer rejected.

When to use it

Run this when your support bot reports a high resolution rate but CSAT or volume tells a different story. It separates genuine deflections from premature closes so you can fix the intents that fail most.

How it works

  1. 1A schedule fires hourly.
  2. 2Pull conversations closed by the bot in the last hour from Intercom.
  3. 3Query BigQuery for reopen or customer-reply events on those conversation IDs.
  4. 4A logic step keeps only conversations reopened within 60 minutes of the bot close.
  5. 5Group the survivors by the bot intent that handled them and count occurrences.
  6. 6Post the ranked failed-deflection list, with conversation links, to a Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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