Purpose limitation
Collect and use data for the stated support, measurement, research or pilot purpose—not unrelated profiling, selection or disciplinary monitoring.
Security, governance and cognitive agency
IQ Mindware is designed around data minimisation, clear purpose, bounded interpretation, participant authority and accountable human review. People should be able to understand, correct and challenge material uses of evidence about them.
Cross-cutting principles
Governance should prevent misuse while also giving workers, learners, service users, clients, researchers and other participants meaningful ways to see, influence and contest the system.
Collect and use data for the stated support, measurement, research or pilot purpose—not unrelated profiling, selection or disciplinary monitoring.
Prefer the least data needed for routing, delivery, progress, evaluation and support. Keep commerce, identity and cognitive performance logically separate where practical.
Explain what is measured, what is inferred, what remains uncertain, who may see it and what the participant may decline, correct, export or request to be deleted.
Provide a route to correct inaccurate evidence, challenge a material inference and request review by an accountable person before any consequential use.
Personal development records and evidence of mastery should be private by default and shared deliberately for a defined purpose, rather than becoming an unrestricted institutional profile.
Do not use app scores, engagement, Zone outputs or provisional CSI inferences for automated employment, admissions, progression, clinical, insurance or eligibility decisions.
Separate participant, coach, educator, practitioner, researcher and institutional roles; expose only what each authorised role needs for the stated purpose.
Record the protocol, content, model, route-contract and scoring versions used when a result, recommendation or interpretation was produced.
Voice and procedural agency
A future CSI participant surface should let a person raise a pressure point, choose an appropriate visibility level, see where it was routed and receive a reasoned response or review path.
CSI can structure evidence and routing. It does not replace formal grievance, whistleblowing, complaints, appeals, safeguarding, data-protection, professional-governance or representative processes.
Sector-specific routes
Sector is context. A concern about workload, AI, learning support, service quality or safeguarding must be routed through the authority structure appropriate to the setting.
| Setting | Illustrative routes | Protected boundary |
|---|---|---|
| Employment and professional work | Process owner, line management, people development, health and safety, occupational health, AI/data governance, grievance, protected disclosure or employee representation. | No app score or CSI inference becomes a promotion, disciplinary, redundancy or suitability decision. |
| Education and research | Tutor or programme lead, learning support, assessment appeal, research supervision, safeguarding, data protection, academic governance or student representation. | No cognitive-app score becomes an admissions, grading, progression or disciplinary score. |
| Health, care and behavioural support | Practitioner, service lead, complaints route, safeguarding, clinical or professional governance, consent review or data protection. | CSI remains decision support and does not replace clinical, care or safeguarding judgement. |
| Sport, coaching and performance | Coach, performance lead, participant advocate, safeguarding, medical or professional governance and programme review. | Participation, selection and return-to-performance decisions remain governed human decisions using appropriate evidence. |
Website route builder
The current deterministic route builder operates client-side and shows the result without requiring contact details.
Before an institutional pilot
| Area | Required decision |
|---|---|
| Controller and processor roles | Name the legal entities and responsibilities for each data flow. |
| Lawful basis and transparency | Document why data are processed, what participants are told and what is optional. |
| Participant view and correction | Define what participants can see, correct, contest, export, delete or ask a human to review. |
| Voice and representation | Define how pressure points can be raised, aggregated, routed and escalated, including representative routes where relevant. |
| Development and progression boundary | Keep private development support and participant-controlled mastery evidence separate from selection or progression decisions. |
| Retention and deletion | Set periods by data type and a deletion process. |
| Hosting and subprocessors | List regions, providers, transfers and contractual safeguards. |
| Access and reporting | Define who can see individual versus aggregate data. |
| AI delegation and provenance | State what AI may do, what people must still understand, what requires verification and who retains final authority. |
| Incident response | Specify reporting, containment, correction and notification responsibilities. |
| Decision boundary | Prohibit automated or unsupported employment, educational, clinical, service-eligibility or performance decisions based on provisional outputs. |
Define the participant rights, authority, reporting and contestability model before representing an institutional route as production-ready.