> For the complete documentation index, see [llms.txt](https://docs.hypertune.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hypertune.com/concepts/impact-analyses.md).

# Impact analyses

Build an impact analysis in Hypertune to see the impact of an experiment on multiple metrics in a single view.

<figure><img src="/files/mKE06dcQPqGTLwkUT8Jd" alt=""><figcaption></figcaption></figure>

Choose between:

* **Frequentist analysis** — shows you conversion rate uplift with confidence intervals
* **Bayesian analysis** — shows you the probability of each variant being the best

Both methods automatically apply adjustments for:

* **Sequential testing** — avoids the **peeking problem**, enabling you to view results at any time and ship a variant if it has a significant result
* **Multiple comparisons** — adjusts for the **family-wise error rate**, enabling you to compare more than two variants (in a multi-arm test), to determine an overall winner


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