Person, task and role — matched four layers deep
Sparkly's Fit Engine does not look only at CVs. It matches a person to tasks, role, team and organisation — using the whole psychometric profile, behavioural patterns and the actual tasks of the role.
What it is
Four layers of fit, one coherent score
Every fit is a sum — not of a single number but of dozens. Sparkly keeps every layer transparent, so the manager sees why someone fits (or why not).
4-layer Fit Engine
Person × Task / Role / Team / Org — four parallel layers of fit that give a whole picture, not a fragmented one.
9-dimension Person × Task
Each task–person fit is calculated across nine dimensions — from cognitive load to emotional demand.
Holistic Suitability
Overall fit score where 30% comes from the role description and 70% from the actual tasks — not the other way around.
Micro-task architecture
Every task carries 30+ theoretical scores — fit, load, growth potential, energy cost.
AI Replaceability
A 4-level classification shows what AI can fully, partly or not at all replace — by role.
Unassigned tasks scoring
AI finds the best owner for ownerless work — based on real team profiles, not opinion.
Task Fit Breakdown
The Decision Board shows the precise reasoning per task — why this person fits and where the risk is.
Holistic dashboard
All layers on one screen — managers see fit, load and growth opportunities at a glance.
How this fits in
Fit begins from the deep profile
Work fit relies entirely on the profile described on the Self-Discovery page. The next step is Decision Support, where these scores turn into concrete decisions.
Make the right hiring and role decisions
Start with the HR Audit or book a demo to see the 4-layer Fit Engine on real data.
Frequently asked questions