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Wiselook platform

Wiselook's intellectual property is a psychometric assessment methodology delivered through conversation.

The delivery is Claire, Wiselook's AI agent, which conducts the assessment as a structured dialogue rather than a questionnaire. The conversational format is deliberate, not cosmetic. It changes what the assessment can observe: the how of an answer, not just the what.

How the platform is structured​

Everything in the platform hangs off the assessment and what it produces.

The model. The Wiselook Model is a proprietary set of core competencies, built by psychometricians and practitioners working together from the first draft rather than adopted from an existing academic or industry framework. An organisation uses it as is, or builds a methodology of its own on it. See Core concepts below.

The assessment. Claire, the AI agent, runs the conversation by chat or by voice, in the language the assessment was created in, and scores the evidence the conversation produces on a five-level maturity scale, from Emerging to Role Model.

The results. A completed assessment produces two reports. The person assessed gets a personal report: their competencies on the maturity scale, development axes, competency-by-competency evidence and recommendations. The organisation gets an employer report on the same assessment: an overall level, and strengths and growth areas per competency with the supporting evidence. The conversation transcript is not shared with the employer.

Reports for groups (a sneak peek). Wise Reports looks at a whole cohort against a target profile: a talent map of strength and fit, rankings, who meets the profile and by how much. A view can be frozen as a snapshot, and from a snapshot the organisation can request a written analysis (a promotion recommendation, a development review, a fit summary or an executive digest), drafted from the frozen figures and reviewed by Wiselook before it is delivered. Reports read in the organisation's own terms: its own display scale and level names, its own target profiles. Alongside it, WiseSearch finds the people who best match the competencies a role needs.

Custom reports. On request, Wiselook's expert team produces hand-crafted reports for an organisation, analysing the custom metrics that matter to it.

Analytics (coming). Wise Analytics is the standing dashboard over the same data: usage, completion, score averages, distributions and trends for the organisation, with nothing to configure.

Who uses it​

  • Organisations (tenants): admins set the organisation up and decide who is assessed against what; managers follow their own groups.
  • The people assessed: members of an organisation who take the assessments assigned to them and receive their personal report.
  • Visitors: people who take an assessment through the Wiselook widget on an organisation's own website. They have no portal account; the organisation's backend identifies them with an id of its own.

Core concepts​

The terms used throughout the docs, the portal and the API.

The model​

Competency. An integrated set of knowledge, abilities, attitudes, values and motivations that a person can draw on, in a way that fits the situation, to respond effectively to the demands of a professional context, and in doing so achieve superior performance.

Core competency. Each of the competencies in the base model, identified through applied research as the most relevant in today's professional world.

Proficiency level. A point on the five-level scale used to assess a competency.

The five levels. Emerging, Developing, Proficient, Expert and Role Model, from lowest to highest maturity. Levels 1–3 describe individual actions; level 4, actions that impact the person's team, and level 5, actions and values that shape behaviour across the organisation.

Client application​

Methodology. A client's own model: their competencies (usually culture-based, with their own definitions) built on the Wiselook Model. A methodology is versioned (everyone assessed against one version was measured by the same instrument) and locale-aware: the same methodology id serves every language.

Base model (general model). The Wiselook Model used as is. Valuable for clients who want a read on general competencies, or who have no competency model of their own.

Claire. Wiselook's AI assessment agent: conducts the assessment as a structured conversation (text or voice) and scores the evidence it produces. Claire is software, not a person.

Platform terms​

Organisation (tenant). A client organisation on Wiselook: its members, roles, tags, adopted methodologies and settings. The API calls it a tenant.

Assessment (evaluation). One person's run of one methodology, moving from in_progress through scoring to completed. Its language is fixed when it is created. The API calls it an evaluation.

Roles. Every member of an organisation is an admin, a manager or a member. See Roles.

Tags. Typed labels on members (department, team, office, cohort) that define groups. A manager's scope is the groups they manage. See Tags.

Widget. An embeddable assessment surface an organisation places on its own website, created by an admin under Settings → Widgets. It authenticates each browser visitor with a short-lived visitor JWT minted by the organisation's own backend. See Embed the widget.

Visitor. Someone who takes an assessment through a widget. A visitor is not a member: no portal account, no role, no tags; the organisation's backend identifies them by the id it passes when it mints the session.

Where to go next​

  • For Tenants: the portal, the three roles, members, tags, methodologies, widgets.
  • FAQs for members: plain answers for the people invited to take an assessment.
  • FAQs for tenants: plain answers for the people running an organisation on Wiselook (what is measured, rollout, reports, data protection, support).
  • For Developers: authenticate, call the public API, embed the widget.
  • Guides: step-by-step integrations.
  • API Reference: generated endpoint docs for every public service surface.