CUSTOMER SUPPORT
Roll Up Front Conversation Tags into a Notion Content Backlog
Weekly, tallies which Front conversation tags are driving the most inbound volume, ranks the underconverted topics.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionFetch tagged conversations from FrontFront
- LogicAggregate volume and effort per tag
- ActionTurn top tags into ranked article ideasOpenAI
- OutputUpsert backlog rows into NotionNotion
What it does
Turns your Front tagging data into a ranked content roadmap. It counts how many conversations each tag drove over the past week, weights tags by volume and reply effort, and writes a prioritized backlog of article ideas into Notion so the docs team always knows what to write next.
When to use it
Use this if your support team already tags conversations in Front and you want those tags to drive content priorities instead of gut feel. Great for teams that plan docs work in sprints and need a defensible ranking.
How it works
- 1A weekly schedule fires the run.
- 2Pull the past week's conversations and their tags from Front.
- 3A logic step aggregates volume and average handle time per tag.
- 4OpenAI converts the top tags into concrete article titles with a one-line rationale and priority score.
- 5Upsert each idea as a row in the Notion content-backlog database, updating counts for ideas already present.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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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