I worked on grammarly's Product Growth Team Designing experiments with the goal of optimizing features and improving product metrics centered around increasing revenue.
As a Growth Designer at Grammarly, I collaborated weekly with engineering teams, and product management. Part of My job involved forming hypothesis' and designing experiments with feature optimization and improving growth metrics in mind.
I hypothesized that Grammarly could boost DAU by catering to the needs of creative writers—a market segment that grammarly didn't position itself to.
Growth Design at Grammarly
Each Growth designer was the owner of their experiments. We had a "Growth Cookbook" each experiment that we launched was a recipe in our cookbook. In desinging experiments it was really helpful to look through it to see if similar experiments had been conducted in the past, it also helped with standardizing the process designing experiments.
This initial phase is crucial. I began by setting clear goals for the new feature, conducting thorough research, and drawing on previous insights. We brainstormed solutions and developed growth hypotheses, prioritizing the most promising ones using the ICE framework (Impact, Confidence, and Ease).
I created user flows in Miro and designed low-fidelity prototypes to gather early feedback. These early iterations were key to refining the design before finalizing the UI. We went through multiple rounds of feedback, focusing on feasibility and development speed while working closely with our developers to ensure the MVP could be built efficiently.
After the MVP was ready, we launched it to different segments of Grammarly users over several weeks. This phase was essential for evaluating the feature’s performance. We analyzed data and user feedback to make informed decisions about whether to further invest in the feature or pivot to new ideas.
Each stage was critical to our growth design process, ensuring that every feature we released was user-focused and aligned with our growth objectives and key team KPIs.
Experiment Design Hypothesis
Improved Metrics
