IA-03

Age at Activation — Time in Backlog Before Work Started

Issue Age

Default severity: medium
Product BacklogPrioritizationRiskEffort

What it detects

Measures how long issues waited in the backlog before entering active development — the pre-work queue time. Long pre-activation ages indicate poor backlog refinement, insufficient preparation, or items being pulled into sprints without proper readiness (DoD bypass).

Detection formula

FOR each_issue I WHERE first_active_transition EXISTS: activation_age(I) = first_active_transition.date - I.created_at pre_activation_median = MEDIAN(activation_age, all_issues_in_period) IF activation_age(I) > config.ia.max_pre_activation_days // default: 90d THEN FLAG long_queue_wait IF pre_activation_median > config.ia.median_pre_activation_threshold // default: 30d THEN FLAG systemic_backlog_lag Report: distribution of pre-activation ages by team and issue type

Examples in practice

  • A team shows measures how long issues waited in the backlog before entering active development while max pre activation days is set to 90d.
  • Example signal: Measures how long issues waited in the backlog before entering active development — the pre-work queue time.

Suggested response

Age down old items: shorten time-in-status, clear blockers, and focus high-value ageing work.

Coaching playbook

Symptom

Measures how long issues waited in the backlog before entering active development — the pre-work queue time. Long pre-activation ages indicate poor backlog refinement, insufficient preparation, or items being pulled into sprints without proper readiness (DoD bypass).

Why it matters

When "Age at Activation — Time in Backlog Before Work Started" keeps appearing, the team is signalling a repeatable process gap. Left unexamined, the pattern hides where work really stalls and makes improvement metrics harder to trust.

What you can achieve

Age down old items: shorten time-in-status, clear blockers, and focus high-value ageing work.

Facilitation questions

  • What system change would stop "Age at Activation — Time in Backlog Before Work Started" from firing again?
  • What do the cited issues have in common — same root cause or same workaround?
  • Who owns the two-week experiment and how will we verify on the next import?

Run this rule against your own tracker data with Flow Analyzer.

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IA-03: Age at Activation — Time in Backlog Before Work Started — FlowAnalyzer