Buyer problem
The buyer needs credible evidence.
Intervention teams need to know which students need support and which misconception is blocking progress.
Why traditional tools fail
Legacy tools see output, not thinking.
Repeated practice and benchmark scores may show that students are behind without explaining the reasoning pattern.
How QLM solves it
QLM captures the process.
QLM combines Socratic tutoring, misconception detection, and TeacherOS review to help target micro-interventions.
Evidence captured
The pilot produces reviewable signals.
Evidence includes error patterns, explanation quality, hint dependence, and whether students transfer after support.
Pilot design
A focused pilot can run before a district or institutional rollout.
Select a high-need math topic, run QLM for a short cycle, and compare intervention notes against existing benchmark data.
- Select one cohort and one measurable outcome.
- Run QLM for a short cycle with teacher or leader review.
- Review misconception, reasoning, and evidence patterns.
- Decide whether to expand the pilot.
FAQ
Questions this page answers.
Does this replace intervention staff?
No. It gives intervention staff better evidence to plan support.
What should a pilot measure?
A pilot should measure misconception clarity, teacher actionability, and student progress after intervention.
Next step
Turn the category into a pilot.
Use this path when you want a pilot, research partnership, or product walkthrough.
Plan a school pilot →