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Research

The framework behind the numbers.

SEND.school puts the HEARTS SEND Deployment Framework into software. It was developed by HEARTS Academy Trust from field work in their own schools: support staff timetables, RAG ratings, hours of need, and progress data, gathered across real settings and reviewed over successive terms.

SEI 3.0 1.5 High ≥ 3.0 Moderate 1.5 to 2.99 Low < 1.5
Background and purpose

Schools spend on support without knowing if it lands.

SEND provision is chronically underfunded relative to statutory expectation. Schools respond by deploying classroom support staff extensively, but usually without a consistent way to measure whether that deployment is efficient or impactful.

The core problem is that schools spend significant sums on support staff without a coherent way to know whether those hours reach the right pupils, in the right amounts, at the right time. The result is often support drift: hours gradually absorbed by lower-need pupils, cover, administrative tasks, or reactive one-to-one support for a single complex pupil, leaving the broader SEND cohort underserved.

Provision Cost Impact Teaching assistants £23k ? HLTAs £12k ? Support staff £6k ? Total £41k ?
The measures

Five signals, one composite score.

Each signal looks at one dimension of how support is used. A school has to do well on every one of them to land a high SEND Efficiency Index.

FinanceASH%NeedDQFPIF High SEI
  • Finance

    Finance KPI

    The cost and scale of classroom support relative to the size of the school.

  • ASH

    Average Support Hours

    How many hours of support are actually delivered for each hour paid for.

  • %Need

    % of SEND need met

    Whether the support delivered matches the need set out in pupils' One Plans.

  • DQF

    Deployment Quality Factor

    Whether the highest-need pupils receive a proportionate share of the hours.

  • PIF

    Progress Integration Factor

    Whether support is translating into measurable progress for pupils.

RAG classification

Rating need, not labels.

Every pupil is rated red, amber, or green by current need, not by diagnosis. A pupil with an EHCP may be green if currently independent; a pupil with no diagnosis may be red if they cannot function in class without one-to-one support.

The core question: how essential is adult support for this pupil to access learning, remain regulated, and make appropriate progress at the present time? Each pupil is rated across eight assessment questions, and their RAG is the majority of those answers.

  • Red Highest need; cannot access learning without one-to-one adult support.
  • Amber Medium need; benefits from small group or focused adult support.
  • Green Lower need; meets need through quality-first teaching with light-touch support.
Methodology

A repeatable six-step cycle.

The framework is applied through the same cycle during school visits and termly reviews.

  1. 01

    Collect data

    Gather support staff timetables, split SEND from non-SEND tasks, quality-assure RAG ratings, and pull hours of need and progress from One Plans.

  2. 02

    Calculate core metrics

    Compute the Finance KPI, ASH, % Need Met, DQF, and PIF from the gathered data.

    Fin ASH Need DQF PIF
  3. 03

    Compute the SEI

    Apply the composite formula across all five metrics.

    SEI
  4. 04

    Interpret results

    Use the interpretation bands and the cross-reference guide to read the pattern.

    3.0 1.5
  5. 05

    Act on findings

    Map findings to a diagnostic pattern and identify specific, proportionate actions.

  6. 06

    Embed in the review cycle

    Include the SEI and PIF in termly SEND reviews, link to budget and deployment, and retest in later cycles.

    SEI
Drift and distortion

What the SEI is built to expose.

Two patterns the framework is designed to catch and to read correctly.

  • Support drift

    The gradual misalignment between where staff hours are nominally deployed and where they are actually used: SEND-contracted staff absorbed into cover or pastoral roles, one-to-one support continuing past need, and historic assumptions persisting beyond their evidence. The SEI is designed to expose it.

  • Small school distortion

    Schools with a low number on roll face a structural problem: the Finance KPI reads artificially high because of fixed staffing minimums, % Need Met reads low because invisible teacher time meets much of the need, and the SEI is depressed even when outcomes are strong.

The papers

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See the framework at work.