TICKET MANAGEMENT
Weekly bug reproducibility scorecard for ClickUp
Each week, aggregates reproducibility scores across all new ClickUp bug tasks and posts a scorecard to Slack showing intake quality trends and the top sources of incomplete…
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionFetch week's bug tasks with scoresClickUp
- LogicAggregate completion rate and missing-field trends
- ActionDraft scorecard narrative and recommendationOpenAI
- OutputPost scorecard to SlackSlack
What it does
This turns per-ticket reproducibility scores into a management view. Once a week it pulls every bug task created in the period along with its reproducibility score and missing-field tags, computes the share that arrived complete, the average score, and which reporters or channels send the most incomplete bugs. It posts a clean scorecard to Slack so the team can see whether intake quality is improving and where to coach.
When to use it
Use it when you've been scoring bug reproducibility and want to manage the trend rather than react ticket-by-ticket. Great for sprint reviews and tightening your bug-report template.
How it works
- 1A weekly schedule starts the rollup.
- 2ClickUp returns all bug tasks created in the window with scores and tags.
- 3A logic step aggregates completion rate, average score, and the most common missing fields.
- 4OpenAI writes a short narrative highlighting the biggest movers and one concrete recommendation.
- 5The workflow posts the formatted scorecard to a Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect ClickUpDocs + tasks + chats in one workspace.
- 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.
More Ticket Management workflows
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Front Duplicate Conversation Clusterer
When a new Front conversation arrives, it semantically compares the report against open conversations.
Intercom Known-Issue Auto-Responder
When a new Intercom conversation matches a known active incident, it attaches the conversation to that incident's parent ticket and sends the customer the current status reply.
Weekly reopen-by-agent coaching digest
Aggregates each agent's solved-then-reopened tickets for the week, identifies the most common reopen reason per agent, and emails a private coaching digest to the support manager.
Escalate repeat reopens to a Linear bug
Detects when the same underlying issue reopens across multiple tickets, uses an AI agent to cluster them by root cause.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.