## Before you get started

Poplee Engagement gives you the aggregated results for each survey, and allows you to view the statistics for a campaign or for several surveys within a campaign.

This help sheet explains how the data displayed in the results interface are calculated.

## Response rate

**Number of respondents**➗

**Number of people surveyed**✖️

**100**

### Of the company

**Number of people surveyed: **Everyone to whom the survey was sent.

Example: 100 people.

**Number of respondents: **Anyone who answered at least one question of a survey.

Example: 80 people.

➡️ **Calculation of the response rate:** (80 / 100 X 100) = 80%

### By team or other filters

**Number of people surveyed: **The number of people the survey was sent to in the filtered population.

Example: Survey 2 of the "Onboarding" campaign was sent to 37 people. I filter on the "Sales" team, which normally contains 70 people. In this team, 8 people received the survey. There are therefore 8 people surveyed.

**Number of respondents: **All those in the filtered population who answered at least one question in the survey.

Example: of the 8 "Sales" people who received the survey, 5 answered all the questions and one person answered two questions. There are therefore 6 respondents.

➡️ **Calculation of the response rate:** (6 / 8 X 100) = 75%

### Of several teams

The manager, for example, will see the response rate of all of their teams. If one or more people belong to several teams, they are only counted once.

Example: The survey was sent to the Bamboo team and the Panda team managed by Eline. Joyce is on both the Panda team AND the Bamboo team.

**Number of people surveyed: **The number of people to whom the survey was sent across all of the manager's teams.

Example: Bamboo: 7 people, Panda: 6 people. Joyce is only counted once in the participants, so there are 12 people surveyed.

**Number of respondents: **All those in the manager's teams who answered at least one question in the survey.

Example: 8 people responded.

➡️ **Calculation of the response rate: **(8 / 12 X 100) = 66.7%

### Of the X last surveys

**Response rate = Sum of response rates over the last X surveys ➗ X**

Example**:** For my last 3 surveys, I got response rates of 80%, 70% and 85%.

➡️** Calculation of the average response rate:** ( (80 + 70 + 85) / 3) = 78.3%

## Averages per question

The calculations are the same whether you filter by team, by criteria or by the company's score. The number of responses will vary according to these criteria.

### The score

**Sum of the score answers to the question ➗ number of answers.**

### Percentage obtained for a score

**Number of times when the answer was chosen ➗ number of answers ✖️ 100**

**Number of responses: **This is the number of respondents to the question concerned in the filtered scope. Questions in the same survey may have a different number of respondents.

Example:

- 6 people answered question 1, 7 people answered question 2. For the average of question 1, we will divide the sum of the scores by 6, but for question 2, we will divide by 7.
- For question 1, 2 people gave a score of 1, 3 people gave a score of 2, 1 person gave a score of 5. The score of 2 was chosen by 50% of respondents (3 / 6 X 100), the score of 1 was chosen by 33% and the score of 5 by 17%.

## Averages per pillar

**Sum of the scores of the pillar-related questions ➗ number of pillar-related questions**

### By survey

**Survey #1**

- Question 1 → Well-being pillar → Score: 4/5
- Question 2 → Well-being pillar → Score 3/5
- Question 3 → Recognition pillar → Score 3/5
- Question 4 → Recognition pillar → Score 5/5

➡️ The Well-being pillar score for survey 1 is 3.5 ((4 + 3) / 2)

➡️ The Recognition pillar score for survey 1 is 4.

### Over a period X (or a campaign)

⚠️ This is not the average of the pillar scores per survey (there may be a different number of questions linked to the pillar depending on the survey).

If you want to know the average of the Progress pillar over the last 2 surveys / on campaign X which contains 2 surveys / over the last 3 months (which corresponds to 2 surveys). Same principle as for a survey. You recover all the scores for the questions that had Progress as the pillar on the last 2 surveys.

**Survey #1**: 4 questions on the Progress pillar Question 1.1 (Progress) = 1/10 Question 1.2 (Progress) = 1/10 Question 1.3 (Progress) = 1/10 Question 1.4 (Progress) = 1/10

**Survey #2**: 1 question on the Progress pillar Question 2.1 (Progress) = 10/10

➡️ For the period including the 2 surveys, the average is 2.8. **The correct calculation of the Progress pillar score is the overall average:** (1 + 1 + 1 + 1 + 10) / 5 = 14/5 = 2.8