The document discusses the process of conducting effective survey data analysis, emphasizing the importance of asking open-ended questions and using sentiment analysis for interpreting responses. It outlines five key steps for analysis and provides a list of the top five survey software tools for gathering customer feedback. The document serves as a guide for choosing the right tools and understanding customer and employee insights.

2. Top 5 Survey Data
Analysis Software
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3. Table of content:
1. How do you do survey data analysis?
2. Why do we need sentiment mining for survey analysis?
3. How do you choose the right tool for surveys?
4. Top 5 Survey Software for Voice of the Customer and
Voice of the Employee.

4. Overview
Giving a voice to customers and employees begins with asking the right
questions. An ideal survey should ensure that true opinions come through.
That’s why questionnaires must have open-ended questions so that
respondents freely express their opinions. However, in such cases where
there are no predetermined categorization of answers, how do you know
the exact sentiment scores? How in-depth is the text analytics while
conducting survey data analysis? How do you choose the right survey
software? These are the interesting aspects of survey analysis that this
article discusses.

5. How do you do survey data analysis?
Step 1: Identify your goals. Then identify subsets you will do the comparative analysis with.
For example, you might want subsets based on age groups (children, adults, elderly) when you
create a survey to find out how customers experienced their stay at your resort.
Step 2: Create your questionnaire. Ensure that you ask all the right questions in your survey,
including the reason behind a response. This means, having open-ended questions to dig a
little deeper.
Step 3: Gather your information securely. Store all your experience data in a single recording
system for every customer touch-point across the business.
Step 4: Process the captured data. Do comparative analysis with existing data and
benchmarks. Apply text analytics and sentiment analysis on your gathered dataset and
understand the patterns and trends that emerge on your customer insights dashboard.
Step 5: Alert and assign tasks to the right teams. Develop business strategies accordingly,
both long-term and immediate, based on the insights from the survey data analysis.

6. Why do we need sentiment mining for survey
analysis?
Market research and customer satisfaction surveys are a great way to
measure customer awareness. One of the biggest challenges in survey
data analysis though, is handling open-ended responses where there are
no categorized, predetermined answers. It is in such cases that sentiment
analysis is tremendously useful. With sentiment analysis, one can know
the exact opinion a customer has, even though they may use
conversational language.

7. How do you choose the right tool for surveys?

8. Why do we Need VoC Tools?

9. Top 5 Survey Software for Voice of the
Customer and Voice of the Employee:

10. Operationally it is important to find the right survey software to make the
creation and broadcast of the surveys as fast and easy as possible. Here
are the top five survey software in terms of scalability, features, and
technology.
1. Survey Monkey
2. Qualtrics
3. Google Surveys
4. GetFeedback
5. Explorance - BlueX

11. Thank you!
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