Understanding customer sentiment through surveys can often be challenging. Respondents may provide vague or elongated answers in open-text fields, making it tough to analyze their true feelings about your products or services. To effectively streamline this process, consider leveraging Power Automate’s AI survey synthesis. This tool helps you convert these ambiguous responses into clear sentiment ratings, enhancing your capability to analyze feedback. Below is a step-by-step guide on how to optimize your customer survey analysis.
Part 1: Setting Up Your Customer Survey Response Spreadsheet
The first step in utilizing Power Automate involves creating a structured spreadsheet to capture your customer survey responses. Depending on the format of your surveys, there are various approaches. Typically, you’ll need the following columns:
- Survey Response ID: An identifier for each survey submission.
- Open-Text Responses: Fields where respondents can enter their feedback.
For this guide, we’ll illustrate using the following columns:
- Feedback ID
- Feedback (open text response)
- Sentiment (to record results)
You can create this Excel spreadsheet manually for testing purposes or sync Microsoft Forms with Excel to automate the process, simply adding an additional column for sentiment. Here’s how your form could take shape:
Part 2: Leveraging Power Automate for Sentiment Analysis
To simplify the feedback analysis, Power Automate can condense lengthy responses into concise sentiment indicators, enabling easier data visualization and interpretation. Here is how to set up the workflow in Power Automate:
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Upon successful connection to your Excel file, the workflow will provide you with a comprehensive sentiment analysis for your customer surveys, categorizing each response as “positive, ” “negative, ” or “neutral.” Please note that this process may take some time.
Exploring Additional Analytical Options
If you’re eager to delve deeper into data insights, consider incorporating custom GPT prompts alongside Power Automate. This approach allows you to construct a more intricate flow that accounts for multiple responses and condenses large volumes of text into single-word sentiments. However, ensure that your AI prompt is clearly designed to elicit straightforward outputs.
Familiarity with Power Automate will be essential as you progress to these advanced capabilities.
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