Analyzing large surveys is always a daunting task. You need to somehow aggregate survey responses, then try and collect response frequencies so that you can create an easy to digest chart, and if somehow you do manage to do all that, you still have no easy way to segment data by participant demographics, etc.

Fortunately, UserBit gives you a number of powerful tools to make extracting meaning out of your surveys much easier. In this post, we'll go over the various features that can help you quickly analyze your surveys. Let's jump straight into it!

Quick analysis with automatically generated charts

For a really quick (and simplistic) Β analysis of survey responses, you can leverage the automatically generated charts for each survey question. When you click on one of the survey questions, you can view all the corresponding responses. At the top of this cross-analysis page, UserBit automatically generates a few useful charts - bar chart and word-cloud. These charts can also be saved as an insight:

Automatic charts on survey responses
Automatic charts on survey responses

Comprehensive analysis via tagging

The real power of analysis on UserBit comes from tags. Tagging automatically generates frequency and correlation charts on UserBit which are immensely useful in visualizing trends and themes. Let's look at how we can tag our survey data.

Just like interview responses on UserBit, it is important to be able to tag survey participants and survey responses separately for a more fine tuned analysis.

Survey participants are ideally tagged with demographic attributes like age-group, team-size, role, etc. Participant tagging comes in very handy for analyzing data, which we will get into, shortly.

Survey responses on the other hand, are typically tagged with behavioral tags like frustration type, feature request, preferences, etc.

Tagging survey participants

There are two ways to tag survey participants with segment tags:

  • Manually tag participants - the most straightforward way of tagging participants is doing it manually. However, this method is too cumbersome when the number of participants is high.
Manually add segment tags to survey participants
Manually add segment tags to survey participants
Auto-tag survey participants based on their responses
Auto-tag survey participants based on their responses

Tagging survey responses

There are three ways of tagging survey responses:

  • Manually tag survey responses - survey responses can be tagged manually by using the tagger bar on top of each response. For smaller surveys, this might work just fine but as you can imagine, larger surveys can easily contain thousands of responses and this method isn't very scalable.
Tag survey responses manually on UserBit
Tag survey responses manually on UserBit
  • Auto-tag survey response for each question - One quick way to save time tagging survey responses is to use UserBit's local auto-tag feature. Click on any survey question to access the "Auto-tag" button. This allows you to tag all responses with a given tag based on keywords or phrases found in the responses.
Auto-tag survey responses based on keywords
Auto-tag survey responses based on keywords
Auto-tag multiple surveys in the project at once.
Auto-tag multiple surveys in the project at once.

Analyzing the tagged data

Once tagging is done, the hard part is over! Now you can use UserBit's Analytics dashboard to start discovering themes and patterns in your data.

Analyzing tag frequencies

The tag frequency tab within Analytics allows you to quickly visualize frequency of tags within tag categories. You can also slice your data by using combinations of segment tag filters:

Analytics dashboard for tag frequencies
Analytics dashboard for tag frequencies

Analyzing tag correlations

Equally important is to be able to analyze tag correlations. For this you can use the tag correlation tab in the analytics dashboard. These are incredibly useful for figuring out relationships between tags. There are two categories of tag correlation that you can leverage on UserBit:

  1. Highlight tag correlation with user segments - How many times were the tags used within a given user segment.
  2. Correlation between two highlight tag categories - How many times were the tags used together in an interview response, survey response or in notes.
Analyze tag correlation on UserBit
Analyze tag correlation on UserBit

When used together, these features can help you quickly analyze and synthesize your survey data. Not only will it help you save a ton of time but also allow you to bubble up important themes and patterns within your surveys.

Well, what are you waiting for? Try it out on UserBit today!