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EG-EK-07 Education & Growth Education & Knowledge CORE Excellence v2.9.7

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.

KPI / Measure
MetricInclusion Data & Outcomes Index
Target>95% completeness, >90% review rate
FrequencyTermly
MethodComposite of data completeness, APDR review rate, and gap reduction
UnitPercentage
Maturity Levels
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.

Applicability

Organisation Types

islamic-school-madrasa educational-institution supplementary-school islamic-university-college private-school training-provider

By Organisation Size

SizeApplicabilityNotes
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)

Administrator 2026-03-07 11:08:10.766979

📋 **Version updated: 1.0.0 → 2.9.7** **Changes:** Updated islamic_references from mizan-297.json

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