Model the value of faster releases
Estimate the ROI of faster regression, fewer late issues, and earlier revenue. Add Scout Mode to model expanded coverage for new content.
This calculator is a directional model. Actual results depend on release cadence, QA maturity, and how your team operationalizes BugHunter.
The economics of release speed
Delay = lost revenue
Every delayed update pushes back monetization and slows player response.
QA scales linearly
More builds, more events, more platforms. More regression pressure.
Faster iteration wins
Ship confidently, learn faster, improve sooner. That is the real advantage.
Estimate your ROI
Select your game stage. Toggle Scout Mode to model expanded content coverage.
Include Scout Mode
Expanded coverage for new content
Your inputs
55%
Estimated Annual Value
$395K
/ year
6.6x
ROI
1.8
Months to payback
10.8 days
Release days recovered / year
4.2K hrs
QA capacity recovered
Value breakdown
Revenue accelerated + QA capacity recovered + late issue costs avoided.
Largest driver: recovering release windows and earlier monetization.
Where the value comes from
Revenue accelerated. QA capacity recovered. Late issues avoided.
Upload build
Connect your game build
Agents explore
Autonomous playthroughs
Issues found
Bugs, regressions, edge cases
Reports ready
Reproducible with logs + video
What Scout Mode adds
Validate new content and release candidates faster. Expand coverage without slowing the core pipeline.
Example: mid-size mobile live-ops studio
Base scenario assumptions
Current process
With BugHunter
BugHunter + Scout
For live-ops teams, the largest ROI drivers are usually recovering release windows and reducing late production surprises, not headcount reduction.
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Send a copy with assumptions and next steps.
FAQ
Ready to model your ROI?
Estimate the value of faster releases and fewer production surprises.