IT

Customer bug report to engineering

Support reports reach engineering without reproducible steps, environment details, duplicate checking or a customer-facing link.

Business problem

Support reports reach engineering without reproducible steps, environment details, duplicate checking or a customer-facing link.

What teams see

  • Work waits between receive support report and extract reproduction details.
  • Owners reconstruct status from HubSpot and Jira.

Why it happens

  • No shared state spans HubSpot, Jira, Generic REST API.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter link customer record cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from receive support report to link customer record
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from receive support report to link customer record.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Receive support report — Accept and identify the customer bug report to engineering trigger. HubSpot
  2. Extract reproduction details — Execute extract reproduction details with validated sample data and an auditable result. HubSpot
  3. Check missing context — Execute check missing context with validated sample data and an auditable result. Jira
  4. Search duplicates — Execute search duplicates with validated sample data and an auditable result. Generic REST API
  5. Apply severity rules — Execute apply severity rules with validated sample data and an auditable result. HubSpot
  6. Support review — Execute support review with validated sample data and an auditable result. SEIDO Review Queue
  7. Create Jira issue — Execute create jira issue with validated sample data and an auditable result. Generic REST API
  8. Link customer record — Execute link customer record with validated sample data and an auditable result. HubSpot
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • HubSpot: Provide workflow input
  • Jira: Lookup and update context
  • Generic REST API: Receive controlled outcome

Human responsibility: IT service owner

Failure and recovery

HubSpot is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for extract reproduction details is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating HubSpot, Jira, Generic REST API.
  • An existing configured platform already handles customer bug report to engineering with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows