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Growth Experimentation

Growth experimentation is the process of using data-driven experimentation to test hypotheses and make informed decisions about how to improve a product or business. It involves setting clear goals, designing experiments, analyzing data, and using insights to iterate and improve. It is a key skill for growth-focused individuals and teams.

  1. Learn Growth Experimentation with the Practica AI Coach

    The Practica AI Coach helps you improve in Growth Experimentation by using your current work challenges as opportunities to improve. The AI Coach will ask you questions, instruct you on concepts and tactics, and give you feedback as you make progress.

  2. Curated Learning Resources

    • Patreon logo
      Why Would I Ever Write a Growth Experiment Doc?

      Tal Raviv, Senior Product Manager, Patreon

      Tal argues that writing a growth experiment doc is essential because it helps you articulate the hypotheses, goals, and metrics for an experiment. He emphasizes the importance of including a clear definition of success, which allows teams to evaluate whether an experiment has achieved its intended results. Additionally, Raviv explains that documenting experiments provides a valuable reference for future work, enabling teams to build on past learnings and avoid repeating mistakes. Tal also notes that a growth experiment doc should be concise and easy to understand, allowing anyone on the team to quickly grasp the experiment's objectives and methodology. He suggests using a simple template to structure the doc, including sections for the hypothesis, experimental design, success criteria, and anticipated results.
    • Omniscient Digital logo
      HubSpot’s Growth Experimentation Process

      David Ly Khim, Co-Founder, Head of Strategy & Operations, Omniscient Digital

      David covers: • Why run experiments? • How do we think about experiments? • Documentation, with a growth experiment template in Airtable • The Process: Hypothesis, Brainstorming, Research, Objective Statement, Experiment Design, Predicted Outcome, Peer Review, Prioritize and Run, Analysis, Post-Mortem Experiment Readout • How can startups apply these principles? • Common Questions
    • Metabase logo
      🧪 The Growth Experiment Process

      Conor Dewey, Product Manager, Metabase

      Conor explains a 3-step process for how to execute an experiment-driven approach to growth: • 🔬 Step 1: Quantitative Analysis, A.K.A. "The What" • 🧠 Step 2: User Psychology, A.K.A. "The Why" • 🧮 Step 3: Experiment Design, A.K.A. "The How" • Case Study