• Exploring your data
  • Begin by selecting a question
  • See comments with scores
  • Reading charts
  • Comparing your scores
  • Combining scores with text
  • Colorize
  • Splitting scores by group
  • Filtered summary
  • Features

Exploring your data

After you build a survey and invite others to take it, we will send you an email to come back and explore the data. Your survey's analysis page may look like this:

Begin by selecting a question

Start by selecting a question.

See comments with scores

If you have a simple survey, there may only be one dropdown list of questions. If your question has any comments associated with it, they will appear below.

The main chart shows the percent of responses to this question that were negative (0 to 6), neutral (7 or 8), and positive (9 and 10) in red, yellow, and green boxes. Beside it a net performance score, or NPS, appears. NPS scores can range from -100 (everyone is negative) to +100 (everyone is positive). If you would like a longer explanation on this calculation, look at our other tutorial before continuing.

Because these surveys are anonymous, we can show you which comments correspond with which scores, but you won't see the names or emails of people who responded here.

How to read our scored relationship questions

Our charts represent the percentage of respondents who gave this question low, medium, or high scores.

  • Scores range from -100 (everyone is negative) to +100 (everyone is positive).Why this scale?
  • Typical scores are between 20 and 40.
  •  Negative (0 to 6) 
  •  Okay (7 or 8) 
  •  Positive (9 or 10) 
  • People who did not respond are not included.

Quiz: Are scores for this question improving or degrading over time?

Comparing your scores

Most surveys have two lists of questions. The list on the left are quantitative, typically asking for a 0 to 10 score. Those on the right are open comments. If you select a different question, the old data disappears. At the top you may see additional buttons. These "grouping variables" are labels associated with responses that let you split the analysis apart into sub-groups.

Combining scores with text

Select both a quantitative question on the left and a qualitative question (text responses) on the right.

When you select a text question, you may notice that there are some gray circles next to the comments under the Colorize button. These comments have not been associated with any scores yet, and were not linked in the original survey. Press the Colorize button to associate them.


The "Colorize" button matches scores to these text responses based on whatever quantitative question you selected.

Your analysis can combine different types of questions, from multiple surveys. Use this button to explore combinations of quantitative (scores) and qualitative (text) from multiple data sets. Any two questions that are on the same survey can be matched. If the circles remain gray, then there was no way to match the data up.

Splitting scores by group

Next, try pressing the buttons at the top under "Filters." You'll see a "Processing..." message appear briefly as new data is fetched.

Filtered summary

This displays your question, split by the labels associated with that button.

If no data appears after processing, go and unselect your quantitative question by choosing "[No question selected]" then re-select it. New data will appear, separated by the labels you have chosen.


These are some of the features available with the presenter:

  • Scores and text will appear together for some questions.
  • You can combine scores and text for any two questions using the "Colorize" button.
  • Quant questions appear on the list on the left. Qualitative (text) questions appear on the list on the right.
  • Use the filter buttons to split your data into groups.
  • If no filters appear, your survey may not have any natural subgroups. However, you can fix this. For example, if you asked a group of your staff these questions, go out and ask the people you serve (beneficiaries) these same questions and a new group label will appear at the top that lets you compare staff responses to beneficiary responses.
  • Other "automatic" groups include survey IDs (if you have multiple surveys, timeframe - split by calendar month (when collecting on multiple occasions), and any other hidden labels you add to the email campaigns when you design them. We can help you customize this.
  • If you have a really large survey with hundreds of responses, use our full analysis tool. It provides benchmark scores from other organizations.
  • You can select a sub-set of responses based on any answers to questions, and only explore that sub-set (see Discovery Mode in the full analysis tool).

Next: We'll redirect you to your dataset!