Approach to uncovering customer insights involves preparing an interview guide with open-ended questions and focusing on letting users tell their story.
Processing interview data involves transcribing using AI tools, identifying patterns, grouping insights automatically, and reviewing and refining to extract meaningful insights.
Translating patterns into insights involves explaining human behavior, enabling the team to act accordingly and possibly creating lightweight personas for better understanding.
Hypothesis-building and revisiting the product's value proposition based on user insights help in prioritizing ideas and ensuring alignment with actual user needs, followed by sharing the user journey with stakeholders.