What QLA actually shows you
A QLA report typically answers four questions:
- Which questions did the class do worst on?
- Which topics or AOs do those questions map to?
- Which pupils have the biggest gap between their target and their performance on those questions?
- What should we re-teach next?
Manual QLA vs automated QLA
Manual QLA in a spreadsheet is fine for a single class of 25 on a single paper. The moment you scale — three classes, a year group, six papers a year — it becomes unsustainable. Data entry errors creep in, historical files get out of sync and the analysis takes longer than the teaching it's meant to inform.
LoftTrack automates the collation. Upload marks (or scan the paper), pick the exam board and paper, and the QLA is ready — heatmap, per-pupil gaps, cohort trends and a suggested re-teach plan.
Reading a QLA report
- Start with the cohort heatmap. Two or three darkest columns = your immediate re-teach priorities.
- Cross-reference with AO tags. If AO2 is consistently weakest, the fix is application practice, not more knowledge.
- Zoom into pupils. Any pupil whose gap-profile looks unlike the class needs a bespoke plan.
- Set two re-teach objectives, not ten. Fewer, better-targeted sessions beat cramming everything back in.
Sharing QLA sensibly
QLA is teacher-facing data. Parents and pupils don't need the heatmap — they need the two next-step actions that come out of it. LoftTrack auto-generates a parent-friendly summary alongside the professional report.
Common QLA mistakes
- Running the analysis and never acting on it
- Chasing the weakest 10 topics instead of the top 2
- Treating one pupil's outlier gap as a whole-class problem
- Not tracking whether the re-teach actually worked in the next paper