Individual iteration is invisible.
The log makes it institutional.
When a teacher makes a good iteration decision — replacing an explanation that produced a systematic misconception with one that works — that decision lives in their lesson notes. If they leave the school, the decision goes with them. If a colleague teaches the same lesson next term, they encounter the same misconception and spend the same 20 minutes fixing it from scratch.
The shared iteration log is the institutional memory that prevents this. Every time a teacher makes a significant adaptation decision, they record three things: what they observed, what they changed, and what they'll check to know whether the change worked. One line. Two minutes. Over a term, the log becomes an accurate, teacher-generated record of which lessons are fragile, which concepts produce persistent misconceptions, and which year groups need the most adaptation.
What to record.
What not to.
The log has three fields and three fields only. Adding more reduces completion rates and reduces the quality of the data that is added. Keep it minimal.
Not 'students didn't fully understand' — 'Q2 correct for 19/25 but Q3 application correct for only 8/25. Students can identify examples but cannot transfer to novel contexts.' The signal entry names the gap precisely, gives a number where possible, and ties to a specific question or observation rather than a general impression.
Not 'I improved the explanation' — 'Replaced the directed-arrow diagram with a particle-density ratio demonstration. Also added an explicit language-replacement exercise (students rewrite their wrong answer using correct framing).' The change entry should be specific enough that a colleague could implement the same adaptation without asking you to explain it.
One sentence describing the validation signal: 'Same Q3 on tomorrow's exit ticket. Target: fewer than 4 students using transfer-failure pattern.' Without this check, the iteration is untestable. With it, the log automatically captures whether the adaptation resolved the gap or needs a second cycle.
From blank spreadsheet to
running log in under an hour.
Nothing more. Use Google Sheets or Microsoft 365 so all teachers can access it simultaneously. Set the 'Lesson' column to a dropdown of your department's lessons — this allows later filtering by topic.
Walk through each field. Emphasise: (1) one line per lesson; (2) two minutes to complete; (3) no requirement for complete sentences; (4) it is not observed or used in appraisal.
After 4 weeks, filter the log by lesson and look for clustering. Which lessons have the most entries? Which signals appear repeatedly? These are your first curriculum improvement signals. Review this in the first A2 retrospective.
Entries where the check column shows the adaptation resolved the gap are archive material — they've generated their value. Prune them to a separate archive sheet. What remains in the active log are ongoing open questions: adaptations not yet validated, or patterns appearing three or more times without a resolution.
The patterns that justify
curriculum-level changes.
Individual iteration log entries are tactical — they address one teacher's specific lesson on one day. Their value compounds when patterns become visible across teachers and topics. These are the patterns worth looking for in a quarterly review:
Once the log has data —
what do you do with it?
A2 covers the team retrospective: the 45-minute session where iteration log patterns become collective curriculum decisions. The log provides the data. The retrospective provides the decision-making structure that turns data into action.