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User Acceptance metrics and KPIs

What are User Acceptance metrics?

Identifying the optimal User Acceptance metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

Find User Acceptance metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of User Acceptance metrics and KPIs

Metrics for Software Feature Completeness

  • 1. Feature Implementation Ratio

    The ratio of implemented features to planned features.

    What good looks like for this metric: 80-90%

    Ideas to improve this metric
    • Prioritise features based on user impact
    • Allocate dedicated resources for feature development
    • Conduct regular progress reviews
    • Utilise agile methodologies for iteration
    • Ensure clear feature specifications

  • 2. User Acceptance Test Pass Rate

    Percentage of features passing user acceptance testing.

    What good looks like for this metric: 95%+

    Ideas to improve this metric
    • Enhance test case design
    • Involve users early in the testing process
    • Provide comprehensive user training
    • Utilise automated testing tools
    • Identify and fix defects promptly

  • 3. Bug Resolution Time

    Average time taken to resolve bugs during feature development.

    What good looks like for this metric: 24-48 hours

    Ideas to improve this metric
    • Implement a robust issue tracking system
    • Prioritise critical bugs
    • Conduct regular team stand-ups
    • Improve cross-functional collaboration
    • Establish a swift feedback loop

  • 4. Code Quality Index

    Assessment of code quality using a standard index or score.

    What good looks like for this metric: 75-85%

    Ideas to improve this metric
    • Conduct regular code reviews
    • Utilise static code analysis tools
    • Refactor code periodically
    • Strictly adhere to coding standards
    • Invest in developer training

  • 5. Feature Usage Frequency

    Frequency at which newly implemented features are used.

    What good looks like for this metric: 70%+ usage of released features

    Ideas to improve this metric
    • Enhance user interface design
    • Provide user guides or tutorials
    • Gather user feedback on new features
    • Offer feature usage incentives
    • Regularly monitor usage statistics
feature-completenessuser-acceptancesoftware-developerquality-assurance-testerdevelopment-teamproduct-management-team
Implement these metrics

Tracking your User Acceptance metrics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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