The misconception heatmap shows, in real time, which concepts your class is struggling with most — aggregated across every student's session, without exposing individual responses.
Each row represents a specific misconception, not just a topic. Instead of 'students are struggling with inequalities' it'll show something like 'students are forgetting to flip the inequality sign when multiplying by a negative' — because that specificity is what makes the data actionable.
The heatmap updates continuously as students work, so checking it at the start of class gives you a same-day picture of what happened in last night's homework or this morning's warm-up.
The most effective routine we've seen: open the heatmap five minutes before class, pick the top one or two misconceptions, and build a two-minute mini-lesson addressing them directly before moving into the planned lesson. Students arrive primed to learn instead of carrying the same gap forward.
Over a grading period, the heatmap also helps you spot patterns across units — sometimes a 'new' misconception is really an old one resurfacing because a prerequisite was never fully solidified.