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Data Visualization metrics and KPIs

What are Data Visualization metrics?

Identifying the optimal Data Visualization 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 Data Visualization 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 Data Visualization metrics and KPIs

Metrics for Doughnut Chart Effectiveness

  • 1. Completion Progress

    Percentage of the project's or task's progress visualised in the doughnut chart

    What good looks like for this metric: Typically aims for 100% by project's end

    Ideas to improve this metric
    • Ensure data accuracy before visualisation
    • Update data regularly to reflect current progress
    • Use clear and contrasting colours
    • Limit the amount of data to avoid clutter
    • Provide contextual information or labels

  • 2. Audience Understanding

    Percentage of the audience that correctly interprets the doughnut chart

    What good looks like for this metric: 85% understanding rate for visualisations

    Ideas to improve this metric
    • Include a legend explaining the chart
    • Use annotations or callouts for key data points
    • Simplify complex data into more straightforward visuals
    • Conduct a test presentation and gather feedback
    • Ensure the chart is accessible to all audience members

  • 3. Visual Appeal

    Measure of the how visually pleasing the doughnut chart is to the audience

    What good looks like for this metric: High engagement and positive feedback from over 75% of viewers

    Ideas to improve this metric
    • Use a consistent and appealing colour palette
    • Maintain a balance between data and design
    • Ensure the chart is appropriately sized for readability
    • Incorporate interactive elements if possible
    • Seek graphic design feedback

  • 4. Information Retention

    Percentage of information retained by the audience after viewing the chart

    What good looks like for this metric: Over 70% retention of key data

    Ideas to improve this metric
    • Highlight key figures and trends within the chart
    • Use bite-sized information for easier digestion
    • Include a summary or recap of important data
    • Engage the audience with interactive features
    • Regularly review the chart's impact through surveys

  • 5. Narrative Coherence

    How well the doughnut chart complements and enhances the presentation or report

    What good looks like for this metric: Cohesive integration leading to smooth presentations

    Ideas to improve this metric
    • Align chart data with the overall narrative
    • Use consistent theming between charts and texts
    • Ensure clarity in the transition between topics
    • Provide story-driven context around numbers
    • Regularly refine presentation flow and sequence
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Implement these metrics

Tracking your Data Visualization 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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