Designs a low-effort system for capturing and acting on quiz, exit ticket, and classwork data.
Creates a data presentation for governors with plain-English explanations and suggested challenge questions.
Estimates and explains Progress 8 and Attainment 8 scores in language non-specialists can understand.
Translates FFT estimates into classroom-usable targets that guide teaching without capping ambition.
Prepares a data handover for students moving year groups with attainment, interventions, and teacher notes.
Tracks disadvantaged student progress against peers across attainment, attendance, and enrichment with action triggers.
Analyses student data to maximise EBacc entry while keeping recommendations student-centred.
Explains residual scores in plain English, showing where performance is above or below expected.
Tracks coursework and NEA progress with early warning flags, not just deadline-day panic.
Prepares a trust-ready data pack with standardised formats and the school's contextual narrative.
Prepares inspection-ready data that tells the school's story honestly, including challenges and actions taken.
Analyses student voice survey results for themes and priorities, respecting every student contribution.
Writes an honest subject data report for SLT or governors covering headlines, trends, and action points.
Turns exam results into a concrete action plan where every change is linked to a specific data finding.
Designs a multi-year dashboard that highlights trajectory changes across attainment, progress, and attendance.
Designs a termly SEND dashboard tracking provision, progress, attendance, and exclusions.
Creates a concise data summary for staff briefings with headlines, trends, and areas needing attention.
Sets up an attendance monitoring system with proportionate thresholds, alerts, and escalation procedures.
Builds a transparent target-setting method that is aspirational, evidence-based, and accounts for individual context.
Estimates student value-added progress and identifies who is above and below expected trajectory.
Designs a year-long tracking spreadsheet structure that minimises data entry and eliminates duplication.
Plans data entry sessions with batching, shortcuts, and verification steps that fit into available time.
Maps where data is entered more than once and creates a single-entry workflow using existing systems.
Prepares a per-student data summary with key metrics and talking points for five-minute parent conversations.
Creates projected progress trajectories based on current data, clearly labelled as estimates not certainties.
Compares performance across classes fairly, accounting for set composition and avoiding blame.
Reports on SEND student progress using appropriate measures for individual starting points.
Analyses achievement gaps between demographic groups with nuanced interpretation and evidence-based interventions.
Breaks down mock results by question, topic, and student group to identify highest-impact teaching changes.
Creates a data-informed seating plan rationale linking positions to attainment, behaviour, and SEND data.
Analyses grade distributions for expected patterns, outliers, and potential concerns with contextualised interpretation.
Analyses attendance data for patterns by day, subject, and student — flagging safeguarding-relevant trends.