Growth
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.
Curated Learning Resources
Why Would I Ever Write a Growth Experiment Doc?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.
HubSpot’s Growth Experimentation ProcessDavid 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
🧪 The Growth Experiment ProcessConor 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