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Synthesizing Research is part of our Product Management Career Leveling Framework. Explore next steps in your career from this industry-standard model.
Intro to Synthesizing ResearchSynthesizing research involves combining data from various sources to develop a comprehensive understanding of a topic. It requires careful planning, organization, and analysis to ensure that the resulting insights are accurate and useful.
- Discovery – Learning vs. InsightsMarty discusses the difference between learning and insights in product discovery work. While learning is valuable, the goal is to gain insights that can solve customer problems and benefit the business. Merely learning techniques is not enough; teams must apply their learnings to successfully deliver products. Marty warns against teams getting too focused on learning processes rather than outcomes. Strong product leaders look for profound insights that can pivot strategy or solve problems beyond their current scope.
Gathering Customer FeedbackGathering customer feedback is an essential component of synthesizing research. This can be done through Surveys, focus groups, interviews, or other methods. It is important to ask the right questions and collect data in a way that is both meaningful and actionable.
Analyzing Customer FeedbackAnalyzing customer feedback involves reviewing the data collected and identifying patterns and trends. This may involve using statistical analysis, qualitative analysis, or a combination of both. The goal is to extract insights that can be used to inform decisions and improve products or services.
- Analyzing and synthesizing user research dataThese are GitLab's internal guidelines on how to synthesize research. It covers how to: • Gather data and discuss with your team • Cluster the data into themes • Discuss and revise as needed • Distill findings into insights
- Customer feedback strategy: How to collect, analyze and take actionSection 5 of this articles covers "Seven steps on how to analyze customer feedback": 1. Collate your data 2. Determine how to categorize the feedback 3. Get a quick overview 4. Code the feedback 5. Refine your coding 6. Calculate how popular each code is 7. Summarize and share
- How to look at evidence and not translate it into your own agendaJasmine outlines how to eliminate your own personal biases in the User Research process and focus on what matters most, solving real problems instead of what we think matters.
- Turning User Research Into Smart Design DecisionsLindsay explains how to turn research findings into product changes with a 4-step process: Define expected outcomes Prepare your research findings (create a report) Effectively communicate results Plan next steps