How to Automate Customer Sentiment Analysis Reports: A Guide for Product Managers

How to Automate Customer Sentiment Analysis Reports: A Guide for Product Managers

Understanding customer sentiment is critical to product success. If you’re a product manager, you can use AI and customer data from various sources to shape your product and how to market it. This guide shows you how to automatically generate customer sentiment analysis reports using powerful tools from and OpenAI. Depending on your skill sets, you may need technical help to complete the steps outlined in this guide. The steps show you how to create a Python script that puts these powerful tools together.

So, buckle up and prepare to gain actionable insights from your customers’ voices!

What you’ll need to run the script

  • Customer Reviews Data — You should obtain customer reviews data from a reliable source. For this guide, we’re getting the data from the eCommerce Reviews API. It provides product information and customer reviews from 900+ eCommerce and marketplace sources. 
  • OpenAI API — You’ll use OpenAI’s API to leverage the GPT-4 and DALL·E models. GPT-4 analyzes and summarizes the text from customer reviews, while DALL·E generates a main image for the report.
  • Python — We’re using Python to automate the report creation process. You’ll need to ensure you can run Python code on your machine.     
How and ChatGPT automate your report

Set up your development environment

Setting up the environment to create automated reports requires the following:

  • Get a API key — You need an API key to use the eCommerce Reviews API. To get a key, contact This guide includes a free NDJSON file with sample reviews data if you would like to experiment with the script without using the API.
  • Get an OpenAI API key — You also need an API key for the OpenAI API. Create an account or sign in at OpenAI to get a key. OpenAI uses pay-per-use pricing for its language and image models. You can see the price points on the OpenAI website.
  • Install Python — If you don’t already have a development environment with Python installed, you’ll need to set one up. If you’re using a Windows operating system, you can find a tutorial on how to get started using Python on Windows on the Microsoft website. Next, install the Python packages using pip, the standard package installer and manager for Python.  

Create your automated customer sentiment analysis report

Now that you’ve set up your development environment, you can move on to automating the report generation process. The below steps will let you automatically generate a detailed customer sentiment analysis report for a specific product. 

Gather relevant data

Leverage the eCommerce Reviews API to collect customer reviews for the product you want to analyze. Filter the reviews by star ratings for sentiment categorization (positive/negative). Use the API to create an external NDJSON file that contains the sorted and filtered reviews. Place the NDSON file in a directory and specify that path in the script file. 

You could opt to use customer reviews data from another source, but you would need to modify the script and adjust the mapping for the data file. You can import an NDJSON or JSON data file.

Unlock and summarize hidden insights

Unleash the magic of OpenAI’s GPT-4 model to analyze the data gathered by the eCommerce Reviews API. Use this powerful large language model to uncover key customer sentiments about your product and summarize the reviews for your report. The script includes a global variable that you can use to set the number of reviews included in the report. Also, make sure you’ve set up your OpenAI API key in your development environment before completing this step.

Craft a compelling report

Utilize Python’s Docx package to create a professional Word document for your report, structured with: 

  • Product details
  • Positive feedback analysis
  • Negative feedback analysis
  • Recommendations and conclusion

Boost visual appeal

Use OpenAI’s DALL-E model to generate impactful visuals that highlight customer sentiment trends and insights.

Finalize and share the report

Compile all the textual and visual elements into your report and review the contents carefully. Go through and polish the report for clarity and coherence. Once satisfied with the finalized report, share it with key stakeholders to inform product development, marketing, and customer service.

Have fun experimenting with and OpenAI

You’re all set to start automating customer sentiment analysis reports. By following this guide and leveraging tools from and OpenAI, you’ll gain invaluable customer insights regarding your products. You can use these insights to drive informed product decisions that resonate with your audience. Let the automated reports production begin!

Download the example code and files

The full Python script

Free sample data (NDJSON format)

Download an example auto-generated Sentiment Analysis Report

You can download an example of an auto-generated report in PDF format here.

To run the script

  • Ensure that Python and the required Python libraries are installed on your machine.
  • Set your OpenAI API key in your development environment.
  • Place the NDJSON file with the product and review information in the specified directory.
  • Run the script.

Ready to automate customer sentiment analysis for your organization? Talk to one of our experts today.

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