Find the leading indicator.
Sendlyr reads learning events to identify the early behavior, window, and coverage.
For edtech apps
Find the learning behavior that leads users forward.
Sendlyr finds a leading indicator in your product data. Your lifecycle stack guides learners toward it, measured outcomes return, and the indicator improves.
69.4% · 129/186
57.7% · 56/97
+0.1pp · no lift
In eReflect's Typesy VIP experiment, the indicator difference was +11.6pp (+20.1% relative), borderline at p ≈ 0.051. Trial conversion was 76.8% vs 76.7%, with no lift; the roughly 77% control baseline left little headroom. Within control, indicator hitters converted at 75.5% (n=49) vs 78.4% (n=37), with a wide confidence interval. Read the corrected result and claim limits.
The activation problem
Progress needs a useful precursor.
A lesson start differs from a mastery checkpoint or a second learning week.
Learning before return
Compare course starts, practice, and mastery checks.
A defined progress state
Choose progress, return, or course continuation.
One lifecycle direction
Give your existing lifecycle stack a clear behavior to reinforce.
Guide learners toward it.
Your lifecycle stack reinforces the behavior, with testing to confirm what changed.
Sharpen the indicator.
Measured progress outcomes return so Sendlyr can improve the indicator.
Fit requirements
Ready when these exist.
- Course, practice, and mastery events have timestamps.
- A learner progress outcome is defined.
- Your team can run one support intervention.
- Consent and privacy controls cover the data.
Edtech signal validation
Find the behavior worth reinforcing.
Bring the learning journey, product data, and one defined outcome.
Request a Signal Validation Pilot