Increase learner engagement through balanced leaderboards
Overview
Business Outcome
User Retention and Engagement
By maintaining balanced leaderboards that foster healthy competition, Duolingo can increase user retention and engagement. Learners are more likely to continue using the app regularly when they feel motivated to improve their performance and maintain their position on the leaderboard.
Behavioral Outcome
Sustained Engagement
When learners perceive themselves as competitive yet not overly challenged or discouraged, they are more likely to remain actively involved in the gamified learning experience.
This sustained engagement leads to increased interaction with the learning materials, higher completion rates, and deeper learning.
The Behavioral Science
Self Determination Theory
The psychological principles behind balanced leaderboards are rooted in Self-Determination Theory (SDT) and Goal-Setting Theory. SDT suggests that individuals are driven by needs for competence, autonomy, and relatedness. By ensuring learners feel competent without being overwhelmed, the leaderboard supports their motivation.
Goal Setting Theory
Goal-Setting Theory posits that specific, challenging goals enhance motivation, but goals that are too difficult or easy can be demotivating. Maintaining a balanced leaderboard sets appropriate challenge levels to keep learners engaged.
How It Works
Duolingo's leaderboards are weekly cohorts of 30 learners who compete to earn the most XP. Each week, the top 10 learners advance to the next league, preventing any learner from getting too far ahead.
This "rubber banding" mechanic, borrowed from multiplayer video games, helps maintain competitiveness by giving advantages to players falling behind. Applied to the leaderboard, it ensures learners never feel discouraged by an insurmountable gap nor complacent from a huge lead.
How It Might Backfire
Feelings of Manipulation
If the leaderboard mechanics are not carefully tuned, some learners may feel the system is unfair or manipulative. Others may become overly focused on competition at the expense of actual learning. Leaderboards could also potentially discourage learners who consistently place low.
How To Test
A/B Tests
Run A/B tests comparing engagement metrics between groups with and without the feature. User surveys can provide qualitative insights into learner perceptions and motivations. Analyzing long-term trends in engagement and retention can reveal the mechanic's lasting impact.
Frequently Asked Questions
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