The article series focuses on conducting customer research with Gen AI to identify and understand customer problems and needs.
In the first part, the target customer persona is outlined as technical project, program, and product managers in various industries, with a problem hypothesis related to professional training limitations.
The article suggests using AI tools like Chat GPT 4.0 to analyze the customer problem hypothesis and compare it with real human responses through user interviews and surveys.
Gemini and Chat GPT provided customer research questions that were used to gather information through Reddit polls and surveys.
Insights from customer responses indicated preferences for microlearning formats and motivations for completing professional training activities.
The article also mentions creating a minimum viable product (MVP) based on the research findings and using Gen AI to code the solution, followed by customer feedback sessions.
Comparing Gen AI versus human user research results showed alignment, with real customer feedback supporting the microlearning trend identified by the AI.
Future articles will explore market potential for a microlearning solution and address the pros and cons of using Gen AI for coding in product development.
Different research methods like 1-1 customer interviews and focus groups are mentioned as additional strategies for gathering insights.
The article concludes by highlighting the need for further exploration of AI topics to advance product management careers.