KPI Tree

Linear Metric

Issue Tracking

Issue Aging Analysis examines the age profile of open issues in Linear, categorising them into brackets to reveal how much of the backlog is recent versus stale. It tracks aging trends over time and identifies patterns in which issue types age fastest.

LinearIssue Tracking

Issue Aging Analysis

Issue Aging Analysis examines the age profile of open issues in Linear, categorising them into brackets to reveal how much of the backlog is recent versus stale. It tracks aging trends over time and identifies patterns in which issue types age fastest.

Why issue aging analysis matters for Linear users

Stale issues clutter the backlog, slow down triage, and can contain outdated requirements that waste effort if eventually worked on. A healthy backlog has a clear age profile with most issues being relatively recent and regularly reviewed.

For Linear teams, aging analysis supports systematic backlog hygiene. It helps product managers decide which old issues to close, reprioritise, or break down into fresher, more actionable items. Regular review prevents the backlog from becoming an overwhelming graveyard of forgotten work.

Understand and act on issue aging analysis with KPI Tree

KPI Tree builds age distribution charts from Linear issue creation and status data in your warehouse. Place this in your backlog management tree alongside priority distribution and roadmap progress metrics.

Assign RACI ownership to product managers for backlog hygiene cadence. Set alerts when the proportion of issues older than a defined threshold grows.

Get started with your Linear data

Query using MCP
MCP

Pull metrics from Linear directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Linear data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Empower your team to understand and act on Linear data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

Experience That Matters

Built by a team that's been in your shoes

Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.

Checkout.com
Planet
UK Government
Travelex
BT
Sainsbury's
Goldman Sachs
Dojo
Redpin
Farfetch
Just Eat for Business