Understand quality at scale.

Intel turns testing, bugs and delivery activity into a connected view of project quality, backlog management and emerging risk.

Clear signals for faster resolution.

Intel System continuously monitors testing, development and resourcing data and surfaces what changed. Instead of reading five dashboards to notice a problem, the problem is identified with the data to back it up.

SIGNALS4 active
  • Regression

    Transition failures returned in build 0.9.41 after passing for three builds.

    Testing activity · 6 findings

  • Backlog

    Open bugs rising faster than bug resolution rate on Northlight

    Jira · 8 week trend

  • Coverage

    Multiplayer has had no session coverage for nine days.

    Testing activity · sessions

  • Capacity

    Cert testing demand exceeds allocated hours for next sprint.

    Command · allocation

What testing is actually telling you.

Every session, bug and review in TopMod becomes measurable. Intel shows where issues are concentrating, where coverage is thin and how reporting quality is trending.

  • Bugs by area, build and severity
  • Session coverage and testing hours
  • Reporting quality scoring across teams and partners
  • Regression and known issue duplication rates

OPEN BUGS · LAST 8 WEEKS

w1w2w3w4w5w6w7w8

214

Active bugs

38

Sessions logged

+18%

Regression rate

How the backlog is really moving.

Intel monitors delivery data from Jira, so bugs raised in testing can be followed all the way through triage, fix and verification.

  • Backlog growth against bug resolution rate
  • Time in triage, progress and verification
  • Find/Fix throughput by team and project
  • Ageing issues and stalled work

Jira · Project Northlight

Raised recently62
Resolved recently41
In verification23
Ageing over 30 days17

Backlog rising faster than bug resolution at the current rate.

Identify coverage gaps and blockers earlier.

Allocation data from Command tells Intel who is on which project, what capacity remains and which devices are available, so quality signals can be identified and acted upon.

  • People and hours allocated per project
  • Capacity, absence and over-allocation
  • Device pool availability and shortfalls
  • Skill coverage against testing demand

COMMAND · UPCOMING WORK

120h

Demand

86h

Available

  • Cert testingShort by 34 hours
  • Switch 2 devices2 of 5 available
  • Combat skillsTwo testers from prior area coverage

Intel Capabilities

  • Automated signals from across data
  • Daily and weekly automated reports
  • Backlog reporting and forecasting
  • Tester insights
  • Vendor comparison
  • PDF and CSV exports

The reporting layer of the Game Quality Engine.

Intel shows where quality needs attention. Command turns that signal into people, devices and capacity, inside the wider TopMod platform.

See quality before it becomes risk.

Explore how Intel can help your studio understand trends, backlog management and emerging quality signals earlier.