How consuliq works
A plain-language explanation of how we score careers, classify your career profile, and where our data comes from.
Experienced track — 7 dimensions
The experienced track computes seven career dimensions from your assessment answers. Five are weighted into your composite score; two are supplementary signals used for narrative framing and archetype derivation.
Core dimensions (weighted)
Supplementary dimensions
- →SRI — Stress & Resilience Index: current stress and burnout exposure. Higher scores indicate elevated stress — the safety gate ensures your brief accounts for this before proceeding.
- →CAI — Career Autonomy Index: adaptability across functions, sectors, and contexts. Measures how many degrees of freedom you have for your next move.
All scores are deterministic — the same answers always produce the same score. No AI is used in scoring.
Graduate track — 6 dimensions
The graduate track computes six career readiness dimensions, combined into a composite Launch score (0–100):
Validated against 20,000 synthetic graduate personas. Top-path accuracy: 97.7%. Top-3 match rate: 99.9%.
Path ranking (Graduate track)
Paths are ranked by a deterministic algorithm that runs entirely in your browser — no AI is involved. Each path receives a composite score based on four factors:
- →Profile fit — how closely your degree, major, and stated career function match the path's typical entry profile.
- →Market access — how open the path is to your background right now, based on sector demand proxies and internship/portfolio signals.
- →Career readiness (Launch score) — your composite Launch score, weighted to reward preparation, network strength, and application activity.
- →Objective weight — when you select a ranking objective (Balanced, Growth, Salary, Mobility, Access), path scores are boosted or discounted accordingly.
Verdicts (Experienced track)
Your verdict is determined by a rule-based algorithm applied to your dimension scores — not by AI.
The AI is then asked to produce a rationale consistent with this verdict. If the AI returns a different verdict, it is corrected automatically by the post-processor. Archetype accuracy on 20,000 personas: 100%.
Primary Archetypes
Your archetype captures your career profile in a single label. It is derived deterministically from your dimension scores.
Primary archetypes
Variant archetypes
Compound modifiers (e.g. "Strategic Operator — Burnout Risk" or "Strategic Operator — Career Pivot") are appended when supplementary signals like SRI or CAI indicate a secondary pattern.
Career Degrees of Freedom
Your Career DoF is a composite metric that measures how many realistic options are available to you right now. It combines:
- →Base capability — foundational score from your core dimensions.
- →Financial constraint (FFS) — how much your financial runway limits your options.
- →Stress constraint (SRI) — how stress may be affecting the range of options you feel comfortable considering.
- →Mobility boost — relocation flexibility, visa status, and geographic optionality.
A DoF score below 40 triggers the "At Risk" archetype and adjusts recommendations toward stabilisation.
Demand heatmap
The heatmap shows estimated hiring demand by city/region for your target path or sector. Two modes:
- →Job API mode — real job posting counts from Adzuna drive the H/M/L classification. AI is used only for the insight narrative.
- →AI-only mode — the entire heatmap is AI-generated. Clearly labelled "AI estimate" in this mode.
We aim to use real job-board data wherever possible. Treat AI estimates as indicative rather than definitive.
How we use AI
AI is used only for narrative and insight generation, not for scoring, path ranking, verdicts, or archetype assignment. Specifically:
- →Decision matrix rationale and options
- →Market intel company list and sector overview
- →Network playbook and outreach suggestions
- →CV bullet rewrites and cover letters
- →Interview question sets and negotiation playbooks
- →Heatmap narrative (when API data is not available)
All structured outputs (verdict, scores, path rankings, archetypes) are generated deterministically and the AI output is validated against them. Where the AI disagrees with a rule-based result, the rule wins. AI-generated content is clearly labelled throughout.
Data and privacy
Your answers are stored in your browser's local storage only. We do not store your assessment data on our servers, sell it to third parties, or use it to train AI models.
When AI calls are made, the minimum context needed is sent to the AI provider — no personally identifiable information is required or sent. You can clear all your data at any time from Privacy settings.
Limitations
- →Salary ranges are indicative EU/European estimates and will vary by country, company size, and negotiation.
- →Company suggestions are illustrative — they do not confirm current hiring.
- →The experienced track is designed for professionals with 3+ years of experience.
- →AI-generated insights reflect training data patterns and may not account for very recent market changes.
- →Heatmap demand levels are estimates; local conditions can differ from regional averages.
- →Percentile comparisons are based on synthetic population distributions, not collected user data.
Data coverage — real vs AI-estimated
Not all insights come from the same source. This table documents which features use live data and which use AI estimates:
Features labelled AI-generated are estimates based on the AI model's training data. They may not reflect the most recent market conditions.