Yuvraj’s approach
Identify key metrics that inform the feature decision.: user growth rate, retention rate, revenue per active user
Evaluate the impact of user acquisition vs. retention on business goals.: Acquisition: boosts top funnel growth, low enginnering effort. Risk: If retention is not strong new users will churn quickly-> wasted acquisition spend. Retention: Deepens engagement and increases subscription conversion. Builds strong long term brand loyalty. Risk: slow visible growth but stronger revenue per active user
Consider potential risks and opportunities of each feature.: Referral program risk: Cold attract low intent users chasing rewards only. May inflate signups without meaningful engagement. Referral opportunities: Quick grow boost, increased user acquisition, more subscription conversions
Persinalised lesson risks; Higher engineering complexity and capacity. Actual benefit may take long time to be visible. Personalised risk opportunities: Sustains retention increase, increases subscription conversion, acts as a differentiator feature compared to competitors.
Make a reasoned recommendation with supporting arguments.: Prioritise the advanced personalised lesson plan. Rationale: Double down on retention that will grow subscription revenue. Acquisition without retention is not profitable and retention improvements compound over time- slow but steady growth. With limited engineering resources, investing in personalised feature will get mroe returns over the investment/ROI than a referral feature. A referral program may increase new signups by 10-15% but only 20/30% will convert to active users. On the other hand, personalised lessons will increase 5-10% daily active users, also increasing subscription conversions by 5% and therefore increaseing overall revenue- 15-20 million USD based on Duolingo's 20 million Monthly active users.
Success metrics: DAU increase, lesson completion rate, subscription conversion rate, churn decrease.