2x
Session length
30%
More active users
10%
Improved course completion
20%
Revenue growth
The challenge
Bridging the intent-action gap in self-learning apps
FinalMile research showed that many users access self-learning apps with the intention to engage, but do not follow through – evident in low usage, course completion and retention. This phenomenon is known in behavioral science as the intent-action gap. Addressing this gap requires targeted design interventions to enhance user engagement and convert intentions into actions within EdTech platforms.
Key challenges
Bridging the intent-action gap in user engagement
Inconsistent usage patterns and low course completion rates
Poor long-term retention of self-learning app users
Insufficient user engagement strategies
The solution
Data-driven design blueprint to enhance engagement
Behavioral design
Data-driven design
Foster learning mindset
Enhance employability
Engagement strategies
Building commitment & motivation
Driving thoughtful interactions
Personalizing learning experiences
Implementation approach
1
Research & development
Leveraged behavioral science
Tailored to self-learning apps
Developed design blueprint
2
Pilot implementation
2 Calibrator cohorts
17 EdTech companies
Diverse learning platforms
3
Measurement & optimization
Monitored engagement metrics
Analyzed usage & retention
Iteratively refined interventions
The impact
Better user engagement and boosted revenue
Elevating engagement
100%
Increase in session length
Increased user interaction
Enhanced app usability
Higher user satisfaction
Userbase growth
30%
increased active users
More course completions
Better retention rates
Sustained userbase expansion
Maximizing revenue
20%
Revenue growth
Prolonged engagement
Effective monetization
Higher return on investment
Looking ahead
Intent-action synergy
Incentivize action with AI-driven adaptive nudges
Dynamic learning journeys
Personalize pathways with learning algorithms
Design blueprint evolution
Gamified and immersive learning systems
