The Struggle is Real: Too Much Feedback Data and Not Enough Resources to Analyze It

Nicole Bansal
Nicole Bansal, September 28, 2022

Growth-minded companies recognize the value in asking for feedback from customers, partners, and employees. But listening, understanding, and extracting actionable insights from that feedback poses a significant challenge.

In today’s data-driven world, quantitative data is highly valued. But 80 to 90% of customer data remains unappreciated or underutilized because it is qualitative in nature. This data includes everything from customer support interactions to product reviews and call transcripts to satisfaction surveys – vital feedback that informs the future of your product or experience. Until recently, the process for analyzing customer feedback was entirely manual, painstaking, and time-intensive – a daunting task that requires significant time and resources. 

Thankfully, there’s now a simpler way to unlock insights from your data. Introducing the Generative Analysis Platform: The Future of Qualitative Data Analysis

A Generative Analysis Platform (GAP) is a new type of software that harnesses the power of AI and Natural Language Processing to analyze massive streams of unstructured data and extract actionable insights into easy-to-understand reports that read like a human spent days building them. A GAP empowers Product, Customer Experience, Research, and HR teams to deeply understand the needs of their audience so they can optimize experiences accordingly. 

With a Generative Analysis Platform, you can:

  • Analyze large amounts of feedback efficiently, reducing operational costs and manual errors
  • Extract actionable insights in real-time to improve your products and services
  • Dig into respondent traits and metadata to uncover hidden connections
  • Actively listen to your customers, partners, and employees to inform your strategy

Unstructured feedback is your company’s most valuable resource. Turn it into your competitive advantage by actively listening with a Generative Analysis Platform.

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*Source: MIT Sloan

Nicole Bansal
Nicole Bansal, September 28, 2022
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