Continuous Product Discovery, and particularly Teresa Torres' approach, are becoming increasingly popular in companies. These methods promise to align product development more closely with actual user needs and enable teams to conduct user research independently and continuously. However, there is a critical problem: Team members such as product owners, requirements engineers, or developers are often suddenly tasked with conducting user interviews, without having the necessary methodological foundation.

This master class addresses precisely this challenge: We teach the basic skills and techniques you need to conduct high-quality user interviews as part of Continuous Discovery. You will learn how to create structured interview guidelines, conduct interviews professionally and analyse your results efficiently – with the support of modern AI tools if required. This will ensure that your discovery activities deliver truly valuable insights and not just superficial confirmations of your assumptions.

Why you should not miss this master class

• Methodological confidence: Gain confidence for your first own user interviews through sound methodology.
• Quality assurance: Ensure that your discovery activities deliver valid insights and are not distorted by methodological errors.
• Increasing efficiency: Learn how to organise the entire interview process - from preparation to analysis - in a time- and resource-efficient way.
• AI as support: Learn how modern AI tools can support you without compromising methodological quality.
• Direct applicability: Receive concrete templates, checklists and exercises that you can use immediately in your day-to-day work.
• Practice-orientated approach: Benefit from a balance between methodological principles and pragmatic approaches for day-to-day business.

• Continuous discovery in context – opportunities and challenges
• Methodological principles of qualitative interviews
• Planning and preparation of user interviews
• Creation of effective interview guidelines
• AI support for the creation of guidelines
• Professional conduct of user interviews
• Common mistakes and how to avoid them
• Efficiently analysing qualitative data
• AI-supported analysis of interview data
• Integration into the continuous discovery process

• Understand and be able to apply the methodological principles of qualitative user interviews
• Create structured and targeted interview guidelines, also with AI support
• Master techniques for conducting professional user interviews
• Recognise and avoid common mistakes and distorting influences in interviews
• Apply efficient analysis methods for qualitative data
• Use AI tools specifically to support the interview and analysis process