Example Data Distributions - Innovation Accounting Program

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How It Works

When applying Innovation Accounting, we need to understand and describe the likelihood of certain events occurring. For example, the likelihood of a customer purchasing our product, a user returning, a sponsor donating money, or reducing the carbon impact of our product.

All of these events can be described by a distribution. Graphs of data distributions allow you to easily see the likelihood and magnitude of an event, usually sequenced from smallest to largest, and the frequency with which they appear. Once a distribution function is identified, it can be used as a shorthand for describing and calculating related quantities, such as likelihoods of observations.

Use this Workbook as a sandbox to familiarize yourself with different distributions and their shapes to better understand the possibilities and probabilities that your experiment data (for example, your financial model) may take.

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Authors and Contributors
Tristan Kromer
Tristan Kromer works with innovation teams and leaders to create amazing products and build startup ecosystems. He has worked with companies from early stage startups with zero revenue to enterprise companies with >$1B USD revenue. (Unilever, Swisscom, Salesforce, Fujitsu, LinkedIn) Tristan has worked with over 17 technology accelerator programs and ecosystem programs such as Innovation Norway, Vinnova (Sweden), Enterprise Ireland, NEST’up (Belgium), StartSmart (Estonia) and the Innovation Partnership Program (Vietnam-Finland) With his remaining hours, Tristan volunteers his time with early stage startups and blogs at
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