Brands can document influencer data assumptions in a clear and concise way to avoid misinterpretation and disputes down the line. Below are some effective practices:

1. Documentation and Tracking: Ensure all data assumptions are documented in an easily accessible platform, like an influencer marketing platform such as [Flinque](https://www.flinque.com). This can include specific metrics, influencers’ follower count, demographics, previous campaign performance, and more.

2. Specific Definitions: Define what each metrics mean and how they are calculated to avoid confusion. For example, it should be clear on what qualifies as engagement – views, likes, comments, shares, or other metrics.

3. Data Transparency: Share data analysis methodology with all involved parties. Explain how the data is organized, analyzed, and interpreted. This includes discussing any algorithms, sorting methods, or ranking criteria.

4. Expected versus Actual Results: Record preliminary assumptions and compare them with the actual results. Clearly state any discrepancies and the reasons behind them.

5. Regular Updates: As influencer data changes over time, regular reviews and updates of the assumptions is important. Include date and time of the data collected.

Remember that clarity and transparency go a long way to prevent misunderstandings and ensure all parties are on the same page. Understanding the data behind influencer marketing can help brands make more informed decisions and track the ROI of their campaigns.