Bloomfilter vs Jira Reporting Metrics

Jira tells you what state your tickets are in. Bloomfilter tells you how work actually flowed.

Reporting Comparison

Across 14 Agile and flow metrics, Bloomfilter computes every one out of the box. Jira reports a handful natively, approximates some as manual or visual-only reads, and requires marketplace add-ons or BI exports for the rest.

Platform	Score & meaning
Bloomfilter	14 / 14— metrics where Bloomfilter delivers a better, or the only, calculation
Jira (marketplace add-ons)	9 / 14— metrics that require a marketplace add-on or manual BI export in Jira
Jira (better OOTB)	0 / 14— metrics where Jira is better out of the box

Legend (Jira): Native = built-in out of the box · Partial = possible but requires manual setup or add-ons · Not available = not supported without a marketplace plugin or BI tool.

Flow & Delivery Speed

Metric	Jira	Bloomfilter
Throughput	Counts of completed issues per sprint via basic burndown and velocity charts	Throughput trended over any time range or work period and normalized across teams
Cycle Time	Not calculated natively. Needs a marketplace add-on or a manual control chart	Time from in progress to done, derived automatically from full status transition history
Lead Time	Not available out of the box	Idea creation to production delivery, spanning Jira plus deployment data
Reaction Time	Not measured	Time from task creation to first status change
Scope Creep	No native detection	Detects mid flight changes to points, description, or acceptance criteria
Rework / Tasks Moving Backwards	Not tracked	Counts tasks regressing to earlier workflow states
Stale Tasks	Manual JQL filters only	Automatic flagging of dormant work past a threshold
Sprint Predictability	Velocity chart shows committed vs done	Predictability scored across sprints with variance analysis
Work Mix	Possible only via custom dashboards and filters	Feature vs bug vs tech debt distribution, trended out of the box
Source Control Metrics	Not in Jira at all	Review time, PR size and risk, merge rate, blast radius from GitHub or ADO
CI/CD and Delivery	Not in Jira	Deployment frequency, change failure rate, MTTR (DORA style)
Cost Metrics	None	Rework cost, cost per output, QA failure cost in dollar terms
AI / Agentic Metrics	None	Agent adoption, cost per turn, AI code contribution, AI footprint in delivery
End to End Visibility	Siloed to issues. Needs add-ons or BI exports	Unified PM, source control, CI/CD, quality, and AI in one model

The bottom line

Jira is a system of record for tickets. It shows current state and basic counts tied to sprint boundaries. Bloomfilter is a system of insight for delivery. It reads the full transition history of every work item and joins it with source control, CI/CD, quality, and AI data to compute flow, risk, and cost metrics that Jira does not produce on its own.