Product Mastery Now for Product Managers, Leaders, and Innovators podcast

615: How to separate signal from noise in customer feedback – with Kristyn Corrigan

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Make the most of AI tools for voice-of-the-customer research

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TLDR

Kristyn Corrigan, Principal at Applied Marketing Science, joins me to discuss how product teams can move from drowning in customer feedback to identifying the core needs that drive product decisions. We explore shifting the Voice of the Customer (VOC) from a formal research method to an organizational mindset, the risks and opportunities of using AI in analyzing feedback, and actionable tools like the VOC focus brief to enhance cross-functional alignment and innovation.

Introduction

Your customers are telling you what they need every day, through usage data, support tickets, sales calls, online communities, and more. AI can summarize all of it in seconds — that’s no longer the hard part. Instead, it’s knowing which needs are worthwhile — what’s the signal to act on and what’s the noise to avoid.

To help us answer that, Kristyn Corrigan joins us again. She is a Principal at Applied Marketing Science, where she leads the Insights for Innovation practice. She has more than 20 years of experience helping companies uncover customer needs and turn them into products, and she trains teams to run their own VOC programs. At the PDMA conference, she led a workshop on moving from a pile of customer feedback to the few needs that should drive product decisions. She’s here so we can learn to do that too.

Summary of Concepts Discussed for Product Managers

Reframing Voice of the Customer (VOC)
Kristyn explains that VOC has shifted from being just a set of research interviews to a comprehensive mindset that leverages the wealth of customer insights found throughout an organization. This includes feedback from CRM data, recorded sales conversations, social media, forums, and support tickets. Product teams need to intentionally curate these sources to ensure the insights inform key product decisions. Kristyn has had success helping salespeople learn to ask voice-of-the-customer questions to help sales interviews provide more valuable insights.

Separating the Signal from the Noise in Customer Research
With the explosion of data from internal and external sources, product teams risk getting lost in noise. Kristyn discusses the importance of aligning the entire organization on research and business questions and identifying which data sources are relevant. Not all feedback holds equal value so strategic focus is essential.

Responsible and Effective Use of AI for VOC Research
AI tools like Copilot and Claude can rapidly synthesize and summarize large volumes of feedback, but Kristyn warns they often miss meaningful innovation details and tend to smooth out themes, potentially losing valuable nuance. These tools can’t be used without trained humans guiding the process and critically evaluating the customer needs that AI identifies. Kristyn notes that AI tools are built to affirm the user. AI is good at summarizing and smoothing themes, but innovation lives in the details, so effective VOC can be lost when using AI summaries alone. A customized AI tool built for customer research and trained human analysts can avoid this problem.

What is Voice-of-the-Customer?
In order to evaluate AI-generated customer needs, it’s important to understand what VOC is. Kristyn defines VOC as a systematic understanding of customers needs or benefits they seek from using your product. That’s very different from the solution that meets those needs.

Real-World Example of Finding the Signal in VOC Research
Kristyn shares a case study from a time her team worked with an HVAC company. They embarked on an effort to understand feedback related to a specific component of the HVAC system. They explored existing customer feedback on contractor forums, review sites, YouTube, and social media, and used both AI tools and humans to analyze the data. By outlining their research questions and having a clear picture of existing feedback, they were able to zero in on a few important insights: First, in addition to contractors, homeowners were talking online about this product, which provided additional insights about customer needs. Second, the research pointed the team to a specific area of the installation process they needed to explore more. To separate the signal from the noise, the team recognized these needs in the existing data and validated their findings further with traditional techniques like ethnography and interviews. This combination allowed the team to move faster and have more resources for traditional research.

VOC Focus Brief
For teams that don’t have access to AI tools designed specifically for VOC research, Kristyn recommends using a VOC focus brief, a shared document where teams state research questions, hypotheses, and possible data sources. Next, create an analysis plan and ensure the entire team is well-aligned. Kristyn also recommends developing the VOC brief with others from cross-functional teams and sharing it widely across the organization.

Useful Links

Innovation Quote

“I like to listen. I have learned a great deal from listening carefully. Most people never listen.” – Ernest Hemingway

Application Questions

  1. How does your organization currently gather and act on customer feedback? What sources are you leveraging, and which might you be missing?
  2. If you use AI-generated summaries, how do you ensure that key details and customer nuances aren’t lost in the analysis process?
  3. What steps can you take to foster better cross-functional alignment around customer insights in your company?
  4. Have you tried creating a VOC focus brief (or similar tool) to align your team’s research goals and information sources? What worked or didn’t?
  5. How do you balance speed of insight from AI tools with the need for deep, empathetic human understanding of your customers’ true needs?

Bio

Kristyn Corrigan helps organizations think differently about their customers. As a Principal at Applied Marketing Science, she has spent more than two decades helping teams uncover the deeper needs behind customer behavior and use those insights to drive innovation, strategy, and growth. She is passionate about building a Voice of the Customer mindset that moves organizations beyond assumptions and closer to what truly matters to customers. Kristyn works with leading B2B and consumer brands to build customer-centered cultures, develop sustainable VOC programs, and turn insights into action. She is a frequent speaker on innovation, customer insights, and AI-enabled research, and serves on the Executive Board of the Product Development and Management Association (PDMA). 

Thanks!

Thank you for taking the journey to product mastery and learning with me from the successes and failures of product innovators, managers, and developers. If you enjoyed the discussion, help out a fellow product manager by sharing it using the social media buttons you see below.

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