On-demand webinar

Office Hours: Dealing with Noise in Feedback Analysis

What counts as noise in customer feedback analysis, and how do you filter it out?
Speakers:

Make customer feedback your superpower

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In this office hours session, Mouna Kacimi breaks down the three main categories of noise that can compromise your insights and shares proven strategies for handling each one.

What You'll Learn:

  • How to identify data-level noise from collection sources
  • Managing analysis-level noise and AI hallucinations
  • Filtering task-level noise for targeted insights
  • Structured approaches to reduce inaccuracies in feedback analysis
  • Practical techniques from information retrieval and machine learning
  • Whether you're a product manager, data analyst, or customer insights professional, this session provides actionable frameworks for improving the quality and reliability of your feedback analysis.

    Timestamps:

    0:00 - Introduction

    0:46 - What is noise in feedback analysis?

    1:42 - Category 1: Data-level noise

    3:24 - Category 2: Analysis-level noise

    6:36 - Category 3: Task-level noise

    8:08 - Solutions for data-level noise

    8:54 - Reducing hallucinations in AI models

    11:05 - Handling outliers and relevance filtering

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    About Wonderflow

    Wonderflow helps leading consumer brands transform unstructured feedback into actionable insights. Its AI Product Intelligence platform analyzes millions of online ratings, reviews, surveys, and customer comments, empowering teams to make smarter product, marketing, and customer experience decisions.

    Discover how the leading VoC platform can elevate your organization

    Book a demo to learn how world-leading brands use Wonderflow to turn customer feedback into competitive advantage
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