Services benchmark diverse‑needs data
Evaluates the systematic collection, benchmarking, and intersectional analysis of diverse user needs data (e.g., SEND, EAL, socio-economic). This practice embodies the Islamic principles of ʿAdl (justice), Riʿāyah (stewardship), and Mīzān (balance), ensuring equitable resource allocation and tailored support. Benchmarking is used to identify inequities, inform anticipatory reasonable adjustments, and prevent indirect discrimination—not to impose quotas. Strict data minimisation and student/parent co-production (Shūrā) ensure ethical stewardship (amānah) and voice-led support.
| Metric | Inclusion Data & Outcomes Index |
|---|---|
| Target | >95% completeness, >90% review rate |
| Frequency | Termly |
| Method | Composite of data completeness, APDR review rate, and gap reduction |
| Unit | Percentage |
Level 1: Initial/Ad-hoc
Ad-hoc/None: No systematic data collection on diverse needs; reliance on anecdotal information.
Level 2: Developing
Reactive: Basic data collected (often incomplete); used mainly for statutory reporting or crisis response; no formal benchmarking or intersectional analysis.
Level 3: Established
Systematic: Data collected and analyzed regularly; APDR cycles in place; basic benchmarking against local averages; compliance with GDPR/Equality Act evidenced.
Level 4: Advanced
Integrated and benchmarked: Comprehensive data collection with formal benchmarking protocol; termly dashboards drive Board decisions; material gaps are shrinking.
Level 5: Optimizing
Predictive and innovative: Uses advanced analytics and intersectional data to anticipate needs; leads the sector in closing gaps; full Shūrā integration in design.
Organisation Types
By Organisation Size
| Size | Applicability | Notes |
|---|---|---|
| Micro | exempt | Disproportionate; formal benchmarking protocols, SLT dashboards, and complex data registers are too burdensome for volunteer-run groups. |
| Small | partial | Must meet UK GDPR Art 6/9 requirements if collecting sensitive data, but formal benchmarking protocols and termly dashboards are disproportionate. |
| Medium | partial | Requires a data register and strict GDPR compliance for special category data, but formal benchmarking and APDR QA audits can be scaled down. |
| Large | full | |
| Major | full |
Applicable When
- The organization offers formal educational programs.
- The organization serves students or learners with diverse needs (e.g., SEND, EAL).
Not Applicable When
- The organization does not provide educational services.
Discussion (1)
📋 **Version updated: 1.0.0 → 2.9.7** **Changes:** Updated islamic_references from mizan-297.json
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