> For the complete documentation index, see [llms.txt](https://eval.playbook.org.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://eval.playbook.org.ai/social-impact/level-4-impact-evaluation/minimum-viable-evaluation.md).

# Minimum Viable Evaluation

| Level 4 - Impact evaluation MVE                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| <ul class="contains-task-list"><li><input type="checkbox">Conduct an <a data-footnote-ref href="#user-content-fn-1">impact evaluation</a> with <a data-footnote-ref href="#user-content-fn-2">counterfactual</a> and enough of a sample size to measure the key outcome(s) of interest, including among sub-populations of interest (e.g. by gender, geography)</li><li><input type="checkbox">Implement strong version control with either a frozen version or a limited number of product versions to be tested</li><li><input type="checkbox">Cost data collection</li></ul> |

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[^1]: An MVE Impact evaluation can also be done inexpensively. There are a number of resources on how to reduce costs and effort and still do a rigorous impact evaluation.

[^2]: Choose the counterfactual judiciously. Focus on the policy relevant choice. While it might be interesting to see how an intervention delivered by humans compares to an AI delivery, if human delivery would be too expensive to be feasible, focus on a counterfactual where the intervention is not delivered.