CRM
Detect Intercom topic spikes and open Linear issues for product
Classifies new Intercom conversations by topic, tracks rolling volume in Postgres.
How it runs
The automated pipeline, trigger to output.
- TriggerIntercom conversation.closed webhook firesIntercom
- ActionClassify conversation topic with OpenAIOpenAI
- ActionUpsert daily topic count in PostgresPostgres
- LogicCompare today's volume to trailing baseline
- OutputOpen a Linear issue on a topic spikeLinear
What it does
Backfilled topic data is only useful if someone acts on it. This workflow turns the live topic stream into an early-warning system: it classifies each closed conversation, increments a per-topic daily counter in Postgres, and compares today's volume to the trailing baseline. When a topic spikes meaningfully, it opens a Linear issue with example conversations attached so product can investigate.
When to use it
Use it when recurring support themes should become product signals instead of dying in a CRM field. Pairs well with the per-contact tagging workflows that keep topics fresh.
How it works
An Intercom `conversation.closed` webhook fires. OpenAI labels the topic. The workflow upserts the daily count for that topic into Postgres and reads the trailing 14-day baseline. A logic step checks whether today's count exceeds the baseline by the configured multiplier; non-spikes end here. On a spike, the output step creates a Linear issue titled with the topic, body containing the trend and linked example conversations.
Set it up
What you configure once, before turning it on.
- 1Connect IntercomConversations, contacts, articles.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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