TICKET MANAGEMENT

Post a daily digest of new regression tickets needing repro details to Slack

Every morning the workflow scans Zendesk for regression-tagged tickets opened in the last day, scores each on how complete its repro details are.

CategoryTicket Management
Enginepaperclip
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled each weekday morning
  • ActionQuery Zendesk for last 24h regression ticketsZendeskZendesk
  • ActionAgent scores each ticket ready/partial/blockedOpenAI
  • LogicSort and group tickets by repro readiness
  • OutputPost prioritized digest to triage Slack channelSlack

What it does

Gives the triage standup a single ranked list each morning. The workflow pulls every regression ticket from the last 24 hours, and for each one the agent judges whether it already has repro steps, an environment, and a version. It posts a Slack digest sorted by readiness, calling out exactly which tickets are missing what so the team chases the right customers first.

When to use it

Use it if regression triage is a daily ritual and people waste the first ten minutes figuring out which tickets are actionable versus which still need info from the customer.

How it works

  1. 1A scheduled trigger fires each weekday morning.
  2. 2The workflow queries Zendesk for tickets tagged `regression` created in the last 24 hours.
  3. 3The agent scores each ticket as ready, partial, or blocked based on presence of repro steps, environment, and version.
  4. 4A logic step sorts and groups tickets by readiness.
  5. 5A formatted Slack digest is posted to the triage channel with per-ticket gaps and links.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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