Here at DataHero, user feedback is a key part of our development process. SurveyMonkey is a fantastic tool for soliciting customer comments, keeping a pulse on user needs, and discovering user delight or pain points. But sometimes you need to go beyond SurveyMonkey’s core tools to analyze your SurveyMonkey responses.
This might be due to the fact that you’ve run several surveys in a series and want greater insights into the results of those combined surveys. Or it might be that you have a specific way of reporting SurveyMonkey responses and results back to your teams or clients. Whatever the reason, DataHero gives you the power and flexibility you need to get insights from your SurveyMonkey responses – without the need for complicated analytics tools or manual spreadsheet manipulation.
In this post, I’m going to step you through analyzing some survey data we collected based on customer responses. Here are the steps that you would follow in order to begin analyzing your SurveyMonkey responses by region, for example:
- Connect SurveyMonkey to DataHero
- Seamlessly import survey responses in one click
- Automatically categorize data by question and response
- Segment users by response and filter out skipped questions
- Visualize survey data geographically
We put together a full walkthrough demo of exactly how to get started analyzing your data in DataHero and using the platform to create charts, reports, and dashboards of your SurveyMonkey responses.
DataHero helps you unmask the answers in your data. There’s nothing to download or install. Simply create an account and connect to the data services you use every day (like Salesforce, Stripe, MailChimp, Dropbox and Box). DataHero automatically decodes your data and shows you the answers you need through dynamic visualizations. Even better, we provide a free 14-day trial of DataHero so you have a risk-free way of analyzing your SurveyMonkey responses.
Happy visualizing and as always, don’t hesitate to reach out to us with any questions at email@example.com.