Analyze feedback over time to understand how sentiment is improving or declining by month and over a 12-month rolling average.

- Click on the top left of the navigation bar.
- Select the
**Overview**tab. - Review the
**Feedback Over Time**chart. **Hover**over the chart to highlight and view underlying data:**% positive (12-month rolling), # positive, # negative**

**Time Frame**

- The timeline shown varies based on the filtered time period selected.
- When time is filtered to
**Last 30 days**, the chart is shown in**days**. - When time is filtered to
**Last 3, 6, 12, 24 months**or**All Time**, the chart is shown in**months**. Note that this chart will only show up to the last 24 months of data.

**# Positive, # Negative**

- # positive is equal to the total positive pieces of feedback in the time period shown.
- # negative is equal to the total positive pieces of feedback in the time period shown.
- Because one piece of feedback may not have both positive and negative components, the sum of feedback in a given time period is usually less than the positive and negative components combined.

**% Positive (12-Month Rolling)**

- % positive is a useful metric to understand the overall sentiment of your feedback. But in many SaaS companies, this sentiment can fluctuate significantly due to cyclicality or seasonality. This makes it hard to tell whether % positive is improving or declining over time. To solve this problem, Loop uses a 12-month rolling average.
- Taking the example in the chart above, if the
**12-month rolling % positive**was 75% in October 2018, that would break down into:**75% positive =**(sum of**positive**feedback between November 1, 2017 and October 31, 2018) / (sum of**positive and negative**feedback between November 1, 2017 and October 31, 2018).

- Note that this equation includes up to 365 days feedback, based on the data available. Because the calculation is rolling, you may find periods of time where there is no feedback, but we still calculate 12-month rolling % positive.

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