What should you expect from ratings and reviews after a launch, and which customer sources matter at each stage?
In this Office Hours session, Lidia Palmi, Head of Customer Success and Insights at Wonderflow, answers audience questions on using Voice of Customer data from pre-launch through post-launch.
She covers spotting unmet needs and emerging trends, building and validating personas with AI agents, reading price perception from customer comments, and the most common mistakes teams make with launch insights.
00:00 Introduction
03:12 How do different Voice of Customer sources differ, and what information does each provide?
08:39 What can I expect from ratings and reviews after a product launch?
14:19 How does AI help refine concepts for target users, and how do you estimate audience size without existing research?
18:37 What is the most common mistake when using customer insights for a launch?
23:21 How do you uncover pain points, unmet needs, and trends using reviews and social media?
28:50 How do you determine willingness to pay from customer insights?
34:09 What are the pre-launch, launch, and post-launch best practices in the platform?
41:31 Audience Q&A: How does relaunching an existing product differ from launching a new one?
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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.
The AI platform that transforms customer feedback into actionable insights
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