Measuring What Matters: How Councils Can Prove Their Neuro-Inclusion Policies Are Working
- 2 days ago
- 23 min read
Neuro-inclusion is easy to endorse and difficult to measure. Councils need evidence that goes beyond awareness campaigns, training totals and isolated success stories.
Executive Summary
Neuro-inclusion has rapidly become a strategic priority across local government, yet many councils remain unable to answer a simple question: is it actually working? While significant effort is being invested in awareness campaigns, training programmes, staff networks and policy development, evidence of impact often remains limited. Interviews conducted as part of the Local Government Neuro-Inclusion Research Project have consistently identified the same challenge: councils can describe what they are doing, but few can demonstrate whether those actions are improving outcomes for neurodivergent employees or residents. This finding has emerged repeatedly across conversations with local authority leaders and practitioners, many of whom report relying primarily on anecdotal feedback, individual case studies and activity measures rather than structured evaluation.
The need for effective measurement is becoming increasingly urgent. Approximately one in seven people in the UK are estimated to be neurodivergent, meaning every council workforce, leadership team and community contains a significant neurodivergent population. Research also continues to show substantial inequalities in employment outcomes. Government figures indicate that the employment rate for disabled people with autism is significantly lower than that of the wider population, highlighting the consequences of systems that fail to recognise and support different ways of thinking and working.
This article argues that councils should move beyond counting activities and instead adopt a balanced, theory-led measurement framework. The most effective approach links interventions, behavioural change, employee experience and organisational outcomes through a clear Theory of Change. By doing so, councils can demonstrate not only whether neuro-inclusion initiatives are being implemented, but whether they are making a meaningful difference to recruitment, retention, progression, wellbeing, service accessibility and resident outcomes.
Introduction
Across local government, neuro-inclusion is moving from the margins of workforce policy to the centre of conversations about talent, equality, workforce sustainability and organisational culture. Councils have increasingly invested in manager training, disability confident initiatives, workplace adjustments, staff networks and awareness campaigns designed to support neurodivergent employees and create more inclusive public services. Yet despite growing commitment, a fundamental question remains largely unanswered: how do we know whether any of it is working?
The challenge is significant because neuro-inclusion is not a simple programme with a single objective. It seeks to influence culture, management behaviours, workplace design, recruitment practices, organisational systems and individual experiences simultaneously. Measuring something so complex requires more than counting the number of managers trained or adjustments implemented. Activity alone does not demonstrate impact.
The case for measurement is strengthened by the scale of neurodiversity within society. Current estimates suggest that around 15% of the UK population, approximately one in seven people, are neurodivergent. In practical terms, this means every council is likely to employ neurodivergent people at every level of the organisation and deliver services to thousands of neurodivergent residents each day.
The consequences of getting inclusion wrong are increasingly visible. Government data continues to highlight stark disparities in employment outcomes, with autistic people experiencing significantly lower employment rates than both the wider population and disabled people overall. Meanwhile, growing numbers of workplace disputes and employment tribunal cases referencing neurodiversity suggest that many organisations are still struggling to translate good intentions into effective practice.
What is striking from conversations across local government is that measurement remains underdeveloped. Several councils participating in the Local Government Neuro-Inclusion Research Project described strong commitment, innovative interventions and increasing awareness, yet acknowledged that formal evaluation systems were either absent or immature. Success was frequently defined through anecdotal evidence, individual stories or training participation figures, rather than robust indicators of workforce experience and organisational outcomes.
This creates a significant risk. Without evidence, councils cannot know which interventions are delivering value, which groups are benefiting, where barriers remain, or whether resources are being directed effectively. Equally, they cannot confidently demonstrate accountability to employees, trade unions, elected members, regulators or residents.
The solution is not to search for a single neuro-inclusion score. Inclusion is too complex, contextual and human for that. Instead, councils need a balanced and evidence-based approach that connects what they do with the outcomes they seek to achieve. This aligns closely with HM Treasury's evaluation principles, which emphasise understanding not only whether an intervention works, but how, for whom and under what circumstances it creates value.
The strongest measurement systems therefore focus on four interconnected questions. What is the organisation doing? What changes as a result? What do people experience? And what outcomes ultimately follow? Answering those questions provides a far more meaningful picture of progress than any standalone metric ever could.
Measuring What Matters: How Councils Can Prove Their Neuro-Inclusion Policies Are Working
Neuro-inclusion is easy to endorse and difficult to measure. Councils need evidence that goes beyond awareness campaigns, training totals and isolated success stories.
The Central Argument
Councils should measure neuro-inclusion through a balanced, theory-led system, not a single headline score. The strongest model connects:
What the council does – policy, training, accessible design and adjustments.
What changes immediately – manager behaviour, adjustment speed, accessibility and confidence.
What people experience – psychological safety, belonging, ease of using services and fair treatment.
What ultimately happens – recruitment, retention, progression and equitable resident outcomes.
This reflects HM Treasury's definition of evaluation as the systematic assessment of an intervention's design, implementation and outcomes, including what effects it has, for whom and why. The 2026 Magenta Book distinguishes complementary process, impact and value-for-money evaluation, and recommends developing a Theory of Change before selecting measures.
Why councils are struggling to define success
The gap is increasingly visible in current local government practice. Interviews conducted as part of the Local Government Neuro-Inclusion Research Project, involving councils across England, Scotland, Wales and Gibraltar, have identified a consistent finding: while authorities have introduced neuro-inclusion policies, training programmes, staff networks and reasonable adjustment processes, none has been able to demonstrate a formal mechanism for measuring the effectiveness of its neuro-inclusion policy or strategy.
Instead, councils commonly rely on wider staff surveys, EDI action plans, workforce metrics and employee experience indicators that were not specifically designed to evaluate neuro-inclusion. Across interviews, participants also highlighted challenges around collecting neurodivergence data, citing concerns about disclosure, privacy, self-identification and data consistency.
Many authorities described using employee feedback, staff network engagement, case studies and anecdotal evidence as their primary indicators of progress. While these approaches provide valuable insight into lived experience, they do not allow councils to determine whether interventions are consistently reducing barriers across the workforce, improving outcomes for different groups, or delivering measurable organisational benefit. In some authorities, manager capability and understanding varied significantly between teams, creating further challenges when assessing the impact of neuro-inclusive practices.
This is not an argument against qualitative evidence. Interviews and case studies remain essential for understanding lived experience, identifying barriers and uncovering unintended consequences. However, it is an argument against using stories without a denominator, baseline or counterfactual. Qualitative evidence can explain how and why something may be working, but on its own it cannot demonstrate how much change has occurred, for whom, or whether outcomes are improving over time.
The core measurement problem is therefore simple:
Councils generally know what they have introduced, but they cannot currently demonstrate whether those interventions have reduced barriers, improved inclusion, enhanced employee experience, or delivered better outcomes for neurodivergent people.
What Councils Can Build On
1. Existing Public Sector and Local Government Frameworks
The challenge facing local government is not a lack of commitment to neuro-inclusion. Nor is it a lack of frameworks, standards or guidance. The challenge is translating those resources into a coherent system that demonstrates whether inclusion efforts are actually improving outcomes.
The strongest foundation already exists within local government itself.
The Equality Framework for Local Government (EFLG) provides perhaps the most relevant architecture for councils seeking to develop a robust approach to neuro-inclusion. Rather than focusing solely on policy compliance, the framework encourages authorities to examine outcomes across four interconnected domains: communities; leadership and organisational commitment; responsive services and customer care; and a diverse and engaged workforce. Progress is assessed through three maturity levels, Developing, Achieving and Excellent, recognising that inclusion is a journey of continuous improvement rather than a binary state that has either been achieved or not achieved.
Importantly, the framework places evidence at its centre. Councils are encouraged to identify inequalities, understand outcome gaps and utilise workforce, resident and partner data to assess progress. This principle is directly transferable to neuro-inclusion. Rather than asking whether a policy exists, councils should be asking whether neurodivergent people experience equitable outcomes as employees, service users and community members.
The Local Government Association's wider work on performance management reinforces this approach. Research commissioned by the LGA highlights the limitations of simplistic performance reporting and warns that traditional RAG ratings often conceal complexity rather than illuminate it. High-performing councils increasingly supplement headline measures with trend analysis, contextual information and clearly documented performance definitions. Many employ detailed measurement handbooks that specify exactly how indicators are calculated, sourced, reviewed and interpreted.
The lesson for neuro-inclusion is clear. A single metric will never be sufficient. Effective measurement requires a balanced suite of indicators that collectively tell the story of whether inclusion is improving, stagnating or deteriorating over time.
Encouragingly, local government already possesses much of the infrastructure needed to achieve this. What remains absent is a standardised neuro-inclusion framework capable of connecting workforce experience, organisational practice and measurable outcomes.
2. Disability and Neuro-Inclusion Assessment Tools
Councils do not need to start from a blank sheet of paper.
A growing number of assessment tools, accreditation schemes and maturity models can help organisations understand their current position and identify areas for improvement. However, these tools should be viewed as diagnostic instruments rather than proof of success. Accreditation demonstrates that certain standards have been met. It does not automatically demonstrate that barriers have been reduced or outcomes have improved.
Perhaps the most established neurodiversity-specific benchmark is the Neurodiversity Employers Index (NDEI®), developed by Autistica. With participation from more than 200 employers, the Index combines organisational self-assessment with employee feedback to provide evidence-informed recommendations and priorities. Its greatest strength lies in identifying organisational strengths and weaknesses from both leadership and lived-experience perspectives. However, it remains primarily workforce-focused and does not assess resident-facing services or establish whether specific interventions are causing measurable improvements in outcomes.
The Disability Smart Framework, developed by the Business Disability Forum, offers a broader lens. Covering more than 130 assessment questions across areas including recruitment, technology, workplace adjustments, customer experience, governance and procurement, it encourages organisations to consider disability inclusion as an organisation-wide issue rather than solely an HR concern. While highly comprehensive, its breadth can also be a limitation. It provides a valuable diagnostic assessment but is not designed specifically to evaluate the effectiveness of neuro-inclusion strategies.
Similarly, ND Smart Assessment and Accreditation provides organisations with a structured maturity model for embedding neuro-inclusive practices. Accreditation can signal commitment, leadership engagement and operational maturity. Yet as with all accreditation systems, it demonstrates alignment with a defined standard rather than evidence of improved employee experience, workforce outcomes or service accessibility.
The built environment should not be overlooked either. The British Standards Institution's PAS 6463:2022, often referred to as Design for the Mind, provides guidance on creating neuro-inclusive environments through consideration of sensory needs, acoustics, lighting, thermal comfort and wayfinding. Given that many neurodivergent people experience heightened sensory sensitivities, the standard offers valuable practical guidance for property, estates and workplace teams. However, it remains a design standard rather than a measurement framework.
Finally, councils can draw from the LGA's own service-design maturity models, which emphasise accessibility, user testing, continuous feedback and inclusive service design. These approaches encourage authorities to consider how residents experience services in practice rather than assuming compliance equates to accessibility. This distinction is critical because meeting technical standards does not necessarily guarantee a positive user experience for neurodivergent residents.
The Key Principle
Collectively, these frameworks provide something extremely valuable: a starting point, not an end point.
They offer diagnostic questions, maturity benchmarks, assessment criteria and potential indicators. They help councils understand what good practice looks like and where gaps may exist. What they do not provide is conclusive evidence that neuro-inclusion is working.
A council can achieve accreditation, complete self-assessments, deliver training and publish policies while neurodivergent employees continue to experience barriers to recruitment, progression, disclosure or workplace support. Equally, a council may perform modestly against an external benchmark while delivering genuinely positive outcomes for its workforce and residents.
For that reason, these tools should be treated as sources of insight rather than measures of success. The ultimate test of neuro-inclusion is not whether a framework has been adopted, but whether neurodivergent people experience tangible improvements in opportunity, accessibility, psychological safety, wellbeing and outcomes as a result.
The most effective councils will therefore use these frameworks as inputs into a wider evaluation system, combining organisational maturity assessments with workforce data, resident feedback, lived-experience insights and outcome measures. Only then can they move beyond demonstrating activity and begin demonstrating impact.
What Should and Should Not Count as Evidence?
One of the clearest lessons from both the academic literature and the interviews conducted as part of this research is that there is no single metric capable of measuring neuro-inclusion. Inclusion is not a static condition that can be reduced to a score, a compliance checklist or an accreditation badge. It is a complex organisational outcome influenced by culture, leadership, management behaviour, workplace design, processes and individual experience.
The strongest measurement systems therefore draw on multiple forms of evidence, each answering a different question.
HM Treasury's Magenta Book advocates combining methods because no single source can explain implementation, experience and outcomes simultaneously. Effective evaluation requires triangulation: bringing together different forms of evidence to build a more complete picture of what is happening and why.
In practice, councils should focus on three complementary categories of evidence.
Administrative evidence is often the most reliable source for understanding volumes, trends and progression through organisational processes. Recruitment outcomes, staff turnover, promotion rates, adjustment requests, complaints and adjustment completion times can all be extracted from existing HR and operational systems. These measures tell councils what happened and at what scale.
Anonymous surveys are better suited to measuring concepts that cannot be directly observed, such as psychological safety, belonging, confidence, fairness and trust. These are often the most important indicators of inclusion because they capture how people experience the organisation rather than how leaders believe it operates.
Interviews, focus groups, observation and co-produced reviews provide the depth needed to understand why certain outcomes occur. They reveal barriers, unintended consequences and lived experiences that structured datasets often fail to capture.
The most effective councils will therefore resist the temptation to search for a single headline measure and instead build an evidence framework that combines all three sources.
What Different Measures Can and Cannot Tell Us
Not all metrics are created equal. Some provide strong evidence of outcomes, while others are useful only as indicators of activity or organisational maturity.
Disclosure Rates
Many organisations view disclosure rates as evidence of progress. While increased disclosure may indicate growing trust and better awareness of neurodiversity, it should never be interpreted as a measure of prevalence or inclusion. Disclosure is influenced by diagnosis rates, personal identity, organisational culture and psychological safety. A low disclosure rate may indicate fear, while a rising disclosure rate may simply reflect greater confidence in sharing information.
The most appropriate use of disclosure data is therefore as a contextual indicator, always interpreted alongside employee experience measures.
Recruitment Outcomes
Few indicators provide more valuable insight into potential barriers than recruitment data. Monitoring application, shortlisting, interview and appointment outcomes can help councils identify where neurodivergent candidates may be disproportionately exiting recruitment processes. However, these datasets often depend upon voluntary monitoring information, which can produce small sample sizes and inconsistent reporting. Recruitment measures are therefore most useful when analysed over time and investigated where significant gaps emerge.
Adjustment Requests and Delivery
The volume of adjustment requests provides important evidence of demand for support, but interpretation requires caution. An increase in requests may indicate that barriers exist. Equally, it may demonstrate improved trust and confidence in organisational processes. Consequently, request volumes should never be viewed in isolation. More meaningful measures include adjustment completion times, employee satisfaction with adjustments and perceptions of whether adjustments have resolved identified barriers.
Retention, Absence and Progression
Ultimately, inclusive organisations should be able to attract, retain and develop neurodivergent talent. Retention rates, sickness absence, promotion outcomes and internal movement therefore represent some of the most important workforce measures available. Yet they are also among the most difficult to interpret. Economic conditions, organisational restructuring, pay, workload and leadership changes can all influence these indicators. They are best understood as lagging measures of organisational health, requiring contextual interpretation and comparison over time.
Training Completion
Training data is one of the most commonly reported neuro-inclusion indicators in local government. Unfortunately, it is also one of the least useful when presented in isolation.
Training completion demonstrates implementation. It does not demonstrate learning. More importantly, it does not demonstrate behavioural change. A council may train 100% of its managers and still fail to create an inclusive working environment. Training should therefore be treated as a leading indicator and supplemented by evidence of manager capability, confidence and observed workplace practice.
Belonging and Psychological Safety
If there is a single category of indicators that deserves greater attention within local government, it is psychological safety.
Research consistently identifies psychological safety as a precondition for disclosure, adjustment requests, learning and innovation. Employees who fear negative consequences for raising concerns are less likely to seek support, challenge barriers or contribute ideas.
Because neuro-inclusion is ultimately experienced through daily interactions, measures of belonging, trust, fairness and psychological safety provide some of the most direct evidence available regarding whether inclusion is actually being felt by employees. These measures inevitably rely on self-reporting, but repeated consistently over time and triangulated with behavioural evidence, they become exceptionally powerful indicators.
Resident Satisfaction and Service Complaints
For councils, neuro-inclusion cannot stop at workforce outcomes. The experience of residents matters equally. Complaint volumes, satisfaction ratings, contact-centre data, digital abandonment rates and accessibility feedback can all provide valuable insight into whether services are accessible to neurodivergent users. However, low complaint levels should not automatically be interpreted as success. Inaccessible services frequently suppress complaints because residents simply disengage. For this reason, complaints data should always be considered alongside user testing, accessibility reviews and resident feedback.
Accreditations and Maturity Assessments
Accreditations, kitemarks and maturity models can play an important role in driving organisational improvement. They provide structure, benchmarks and external challenge.
What they do not provide is proof of impact. A council may achieve accreditation while employees continue to report poor experiences. Equally, a council with no accreditation may be delivering highly effective support. Maturity scores should therefore be viewed as diagnostic tools rather than headline performance indicators.
A Caution About Emerging Measures
As interest in neuro-inclusion grows, so too does interest in measuring attitudes towards neurodiversity. One promising example is the Neurodiversity Attitudes Questionnaire, which demonstrated encouraging initial validity during pilot research involving 351 predominantly US-based helping professionals. However, the researchers themselves caution against overextending its use. Further validation is required and the instrument has not yet been established as a reliable pre- and post-intervention measure. The lesson for councils is an important one: resist the temptation to create bespoke "neuro-inclusion scores" or use emerging psychometric tools beyond their validated purpose.
The Fundamental Principle
The question should never be, "What is our neuro-inclusion score?"
The question should be:
"What combination of evidence tells us whether neurodivergent people experience fair access, meaningful support, psychological safety and equitable outcomes within our organisation and services?"
The councils that answer that question successfully will not be those with the most metrics. They will be those that understand the strengths and limitations of each measure, combine quantitative and qualitative evidence intelligently, and remain focused on outcomes rather than activity.
A Practical Council Neuro-Inclusion Balanced Scorecard
If the central challenge facing local government is the absence of meaningful measurement, the solution is not to create another policy, framework or accreditation scheme. It is to establish a measurement system that allows councils to understand whether their actions are producing the outcomes they intend.
Drawing on HM Treasury's Magenta Book, the Equality Framework for Local Government, wider public-sector performance management principles and the findings of this research, the proposed Council Neuro-Inclusion Balanced Scorecard provides a practical model for doing exactly that.
At its core, the framework recognises that neuro-inclusion is not a single outcome. It is a chain of interconnected activities, behaviours, experiences and results. Councils therefore need a measurement system that tracks progress from policy implementation through to workforce and resident outcomes.
The framework outlined in Figure 1 is designed around five domains and two parallel pathways, one focused on employees and the other on residents. It also distinguishes between leading indicators, which provide an early warning system and allow intervention before problems become entrenched, and lagging indicators, which demonstrate whether conditions and outcomes have actually improved over time.
Too often, organisations focus exclusively on lagging indicators such as turnover, complaints or retention rates. By the time these measures deteriorate, the underlying causes may have existed for months or even years. Equally, a focus solely on activity metrics such as training completion or policy adoption can create a false sense of progress without demonstrating any real-world impact.
The balanced scorecard approach overcomes this by linking activity, capability, experience and outcomes within a continuous evidence-and-learning cycle.
Figure 1: A council measurement system should connect policy activity to both workforce and resident outcomes, while using leading and lagging indicators within a continuous evidence-and-learning loop.
The Five Domains of Measurement
The proposed scorecard consists of five interdependent domains, each answering a different but equally important question.
1. Governance and Capability
Are leaders creating the conditions for neuro-inclusion to succeed?
The first domain examines organisational leadership, accountability and capability. Leading indicators might include the presence of an accountable Executive Director or sponsor, completion of agreed actions arising from employee and resident feedback, manager participation in applied neuro-inclusion learning, and evidence that policy decisions are informed by neurodivergent voices.
The ultimate test, however, is not whether governance structures exist, but whether people trust them. Lagging indicators should therefore focus on employee and resident confidence that feedback leads to action and whether there is consistency of experience across services, departments and directorates.
2. Access and Adjustments
How easy is it for people to obtain the support they need?
One of the strongest themes emerging from interviews conducted for this research is that support often depends on individual managers, local processes or informal knowledge rather than a consistently accessible system.
For that reason, councils should monitor adjustment response times, implementation times, accessibility issues identified and resolved, and the proportion of requests with clear ownership and review arrangements. Outcome indicators should focus on effectiveness rather than activity. Do employees believe adjustments made a difference? Are service users completing key journeys successfully? Are there reductions in repeated adjustment requests, complaints or escalations?
3. Experience and Culture
Do neurodivergent people feel safe, supported and included?
This domain sits at the heart of the framework. Research consistently demonstrates that policy is experienced through culture, management behaviour and day-to-day interactions rather than organisational statements. Leading indicators should therefore assess awareness of support, manager confidence, participation in co-production and the accessibility of feedback routes.
Lagging indicators should measure what genuinely matters to neurodivergent employees and residents: belonging, trust, psychological safety, perceptions of fairness and confidence that support will be available when needed. If a council wishes to identify a "north star" indicator for neuro-inclusion, psychological safety is arguably the strongest candidate because it underpins disclosure, collaboration, learning and wellbeing.
4. Equity Across the Lifecycle
Do opportunities and outcomes remain fair throughout employment and service delivery?
Many organisations measure inclusion at the point of recruitment but fail to track experiences beyond entry. Similarly, councils often measure service demand without examining how different groups experience the same processes.
Leading indicators in this domain should therefore focus on proactive inclusion, accessible recruitment processes, onboarding support, available service formats and adjustment opportunities. Lagging measures should examine whether gaps exist in recruitment outcomes, retention, progression, waiting times, service completion rates and successful resident outcomes. The objective is not necessarily to prove complete parity, but to identify and understand unjustified disparities where they exist.
5. Organisational and Resident Outcomes
What difference is neuro-inclusion actually making?
The final domain focuses on long-term impact. At organisational level this may include retention, wellbeing, progression and workforce sustainability. At resident level it could involve satisfaction, trust, service accessibility and delivery outcomes within specific service areas. Critically, this domain should also examine whether identified barriers are triggering redesign and whether new initiatives are supported by baselines, theories of change and formal evaluation plans before implementation begins. This is where neuro-inclusion moves beyond compliance and becomes part of organisational effectiveness.
Keep the Headline Dataset Small
A common mistake in performance management is confusing volume with insight.
The most effective neuro-inclusion dashboards are unlikely to contain dozens of leadership KPIs. A practical corporate scorecard should instead focus on approximately 12 to 15 carefully selected indicators, supported by a deeper layer of diagnostic measures.
This approach reflects broader local government performance management practice, where experienced authorities increasingly prioritise meaningful indicators over expansive reporting packs.
The objective should be clarity, not complexity.
Every indicator included within the scorecard should have a clearly documented specification explaining:
The outcome it is intended to influence.
The reason it matters.
How it is calculated.
Where the data originates.
Who owns it.
How frequently it is reviewed.
What constitutes improvement or deterioration.
The limitations of the data.
What management action should follow different results.
In other words, every metric should have an explicit purpose.
Without that discipline, councils risk creating dashboards full of numbers that are monitored but rarely acted upon.
From Measurement to Improvement
Perhaps the most important principle underpinning Figure 1 is that measurement is not the goal.
The goal is learning. The purpose of a neuro-inclusion scorecard is not to prove success, satisfy auditors or generate attractive reports. Its purpose is to help councils understand what is working, identify where barriers remain and make better decisions for employees and residents alike.
The councils that make the greatest progress over the next decade are unlikely to be those with the most sophisticated dashboards. They will be those that use evidence consistently, listen to neurodivergent people continuously and treat measurement not as an exercise in accountability alone, but as a mechanism for organisational learning and improvement.
How to measure resident outcomes
Councils should not attempt to produce a single authority-wide “neurodivergent resident satisfaction rate”. Many people will not have, or wish to disclose, a diagnosis, and service experiences differ radically between housing, revenues, public health, education and social care.
Instead, select priority service journeys and ask:
Can users understand what is required?
Can they choose an appropriate communication channel?
Can they complete the process without avoidable repetition or cognitive overload?
Are requested communication or environmental adjustments provided?
Are waiting, abandonment, escalation and resolution outcomes equitable?
Do users report dignity, clarity, control and trust?
The LGA’s service-design guidance recommends mapping diverse user needs from the outset, testing with real users, applying accessibility standards and using continual feedback. PAS 6463 adds useful built-environment criteria where residents or employees use council premises.
For place-based outcomes, attribution will often be difficult because councils operate alongside schools, health bodies, contractors and voluntary organisations. The Magenta Book therefore recommends place-based Theories of Change, community participation and, where possible, evidence across multiple places or comparison areas.
Good practice: what stronger evaluation looks like
The Partnerships for Inclusion of Neurodiversity in Schools evaluation offers a useful public-sector model. It combined a baseline survey of 5,405 staff, a follow-up survey of 1,036, administrative and management data, ten school case studies, partnership surveys, focus groups and practitioner workshops. A proposed quasi-experimental design was judged infeasible, so evaluators used a theory-based, mixed-method approach and explicitly distinguished early organizational changes from pupil outcomes not yet expected to materialise.
That distinction matters. The evaluation found emerging change in leadership, culture, teaching, environment and parent-carer engagement, but did not claim measurable pupil impact prematurely. It also reported that its regression models did not imply causal relationships and identified baseline competency as important when interpreting change.
Within the enterprise research, promising council practices included wellbeing passports that travel with employees, employee networks with protected time and routes to decision-makers, and needs-led recruitment and workplace adjustments. These are credible interventions; their next step should be to add baselines, effectiveness reviews and outcome comparison rather than relying only on positive feedback.
Governance and Safeguards
Measurement without governance can be more damaging than no measurement at all.
Poorly designed metrics can create unintended consequences, encourage superficial compliance and, in some cases, undermine the very inclusion councils are trying to achieve. If neuro-inclusion is to be measured credibly, councils must ensure that their evaluation approach is underpinned by strong governance, transparency and ethical safeguards.
The interviews conducted as part of this research repeatedly highlighted a common concern amongst practitioners: a fear that over-simplistic measurement could create perverse incentives. Leaders naturally focus on what is reported, and when a single number becomes the centrepiece of organisational performance, people inevitably begin to manage the number rather than the underlying outcome. For neuro-inclusion, this risk is particularly acute.
A reduction in adjustment requests may appear positive on a dashboard. A fall in complaints may be celebrated. Lower disclosure rates may even be interpreted by some as evidence that fewer employees require support. Yet each of these conclusions could be entirely wrong. Rising adjustment requests may actually indicate increasing trust. Higher disclosure rates may demonstrate psychological safety. More complaints may reflect growing confidence that concerns will be heard and acted upon.
As a result, councils must focus on creating governance arrangements that encourage learning rather than performance theatre.
Six Essential Safeguards
1. Co-produce the framework
Neurodivergent people should not simply be subjects of measurement; they should be active partners in designing it.
Employees and residents with lived experience are often best placed to identify whether proposed indicators genuinely reflect success or whether important aspects of inclusion have been overlooked. Co-production also helps organisations understand unintended consequences and challenge assumptions that may appear logical to decision-makers but feel very different in practice.
The interviews underpinning this research consistently demonstrated that some of the most valuable insights emerged when organisations listened directly to neurodivergent colleagues about their day-to-day experiences rather than relying solely on managerial interpretations.
2. Make disclosure voluntary and separate it from access to support
Disclosure data can be useful, but it must never become a prerequisite for receiving support.
Many neurodivergent people remain undiagnosed, are awaiting assessment, choose not to disclose, or simply do not identify with formal labels. Councils should therefore focus on needs-based support rather than diagnosis-based support.
Good practice requires disclosure to remain voluntary, aggregated reporting to be used wherever possible, small cohorts to be suppressed where appropriate, and information governance requirements to be followed rigorously. Most importantly, councils should remember that disclosure rates are not prevalence rates. They are indicators of trust, confidence and identity, and should always be interpreted accordingly.
3. Evaluate interventions prospectively
One of the most common mistakes in organisational change is attempting to evaluate impact after an initiative has already been launched. By then, the baseline has been lost. The strongest evaluations begin before implementation. Councils should establish baseline measures, define their Theory of Change, agree success criteria and identify data collection methods before introducing new interventions. Where practical and proportionate, phased implementation, comparison groups or pilot approaches can significantly strengthen confidence in findings and help distinguish genuine impact from coincidence.
4. Separate assurance from evaluation
This distinction is critical and often misunderstood.
Assurance activities ask:
"Did we do what we said we would do?"
Evaluation asks:
"Did it make a difference?"
A council may successfully complete training programmes, pass audits, achieve accreditation and implement policies exactly as intended. These achievements demonstrate organisational capability and should be recognised.
However, they do not automatically demonstrate improved outcomes.
Impact evaluation requires organisations to move beyond compliance and ask whether barriers have reduced, experiences have improved and outcomes have changed as a result.
The two functions are complementary, but they should never be confused.
5. Use independent challenge for major initiatives
The most credible evaluations are rarely conducted in isolation.
The Magenta Book emphasises the importance of transparency, external challenge and proportionate scrutiny. Independent review does not need to mean expensive consultancy projects. Peer challenge from other councils, academic partners, independent experts, staff networks or resident panels can all strengthen the quality of evaluation and reduce the risk of confirmation bias. People naturally want initiatives they have invested in to succeed. Independent challenge helps organisations remain honest about both strengths and shortcomings.
6. Publish limitations as prominently as successes
Perhaps the most important safeguard of all is transparency. Every dataset contains limitations. Every survey contains biases. Every evaluation includes uncertainty. High-performing organisations acknowledge these openly rather than attempting to conceal them.
Response rates, missing data, organisational restructures, policy changes, labour market conditions and wider societal factors can all influence results. Reporting these factors alongside findings makes conclusions more trustworthy rather than less. In fact, transparency about limitations is often the clearest sign that an organisation understands evaluation properly.
The Danger of Measuring the Wrong Thing
The greatest risk facing local government is not a lack of data. It is creating incentives that unintentionally suppress demand. If leaders celebrate reductions in adjustment requests, managers may become less likely to encourage employees to seek support. If complaint reductions become the primary measure of accessibility, teams may stop listening to difficult feedback. If disclosure rates become performance targets, employees may feel pressured to share information they would otherwise choose to keep private.
This is why measures should always be interpreted in context.
As explored throughout this article, the question is never simply how many requests were made. The more important questions are:
How quickly were requests addressed?
Were people satisfied with the outcome?
Did the support remove barriers?
Did experiences improve as a result?
These indicators provide a far more meaningful assessment of inclusion than volumes alone.
As I often say in my work as a neurodivergent recruiter, coach and advocate:
"Genuine neuro-inclusion is not demonstrated by how few people ask for help. It is demonstrated by how confident people feel asking for it, how effectively organisations respond, and whether barriers become easier to overcome over time. Silence is not evidence of inclusion. Trust is."
Conclusion
Throughout this research, one finding has remained remarkably consistent. Councils across the UK and Gibraltar are investing significant time, energy and commitment into creating more neuro-inclusive workplaces and services. What has largely been missing is a robust way of evidencing whether those efforts are succeeding. The objective is not to count how many neurodivergent people a council employs. Nor is it to maximise policy documents, awareness sessions, adjustment passports, training completions or external awards.
The true measure of success is whether barriers are reducing, opportunities are becoming fairer, support is becoming more effective, psychological safety is increasing and outcomes are improving over time.
A credible council framework should therefore combine:
Implementation fidelity: Are policies, processes and commitments being delivered as intended?
Employee and resident experience: Do people feel included, supported and psychologically safe?
Objective workforce and service outcomes: Are recruitment, retention, progression and service outcomes improving?
A balanced set of leading and lagging indicators: Are councils able to intervene early while also demonstrating long-term impact?
Qualitative insight and challenge: Do lived experiences explain what the numbers cannot?
Transparent governance and periodic evaluation: Can leaders demonstrate both accountability and learning?
Ultimately, neuro-inclusion should not be viewed as a compliance exercise. It is a long-term organisational capability that requires continuous listening, testing, learning and adaptation.
Perfect measurement will never exist. Inclusion is too complex, too human and too contextual for that. But councils can do far better than relying on assumptions, anecdotes and good intentions alone. The ambition should be to move from:
"We believe this is helping."
to:
"We can demonstrate what changed, for whom it changed, how confident we are in the evidence, and what we need to improve next."
That is the difference between having a neuro-inclusion policy and knowing that it works.
