--- title: Platform as a Product weight: 13 tags: - platform - cloudnativecon --- The CNCF's research into product thinking for platforms. ## But why - Get insights into the current product thinking practives of platform builders - Topics: Needs/Paintpoints/Behaviour - Target: Create personas based on insights - Find out what people are doing, not hew they are doing ## How? - Survey for quantity - Interviews for quality ## Challenges - Asking questions without sugessting answers - Consensus on research goals - Motivation and time investment (on interviewer and interviewee side) + Non-Responses - Toolsing: There is no standard tooling at the CNCF for this kind of research - Small sample size -> No real research insights, just signals/hints ## Analysis - Working with assumptions was hard in combination with the small sample size - Survey: Survey Tool (Google Forms) combined with a whiteboard tool for clustering and analysis - Interviews: They used ai for time efficiency but the prompt escalated a bit leading to no real time gain -> But you can scale the same prompt to infinite sample sized - Challemnge: AI confidently churns out wrong answers -> Use source links to verify and scoping TODO: Steal worklow from slides ## Outcome/Signals - Platform Orgs use Prioritization Frameworks onconsciously: "We don't use product management and tools like that" -> Well you do, you just don't call it PM and are a bit unstructured - Structured Activities: Interviews (talking to each other), Focus groups, quantitative data, ... - Roadmap influence: Insight, prioritization, painpoints, backlogs - Regular planning meetings - Platform orgs struggle to define and actually implement measures of success: Measure activity over impact, success is often felt instead of proved - Platform teams have varied control over their work: Depndening on company size and business relationships ## Future - Baseline: They have some signals - Question: Are these pattern successfull - Needed: More data and better organization