For organisations · Public sector & DWP
Explainable to the participant, not just the commissioner.
If a decision about someone's future cannot be explained to them in plain terms, it should not be automated. CareerPathIQ measures and explains — the judgement stays with the adviser.
Participant progress
Cohort · illustrative34
Baseline
58
Current
9
Interviews
Aggregate cohort figures only. No individual case file is exposed to a commissioner.
Why it fits employment programmes
Built for the people generic tools serve worst.
Meaningful human involvement
The platform produces a measurement and an explanation. It does not decide, rank for exclusion, or replace an adviser's judgement.
Ready for a transparency record
The method, the taxonomy and the guard can be described in full for an algorithmic transparency entry — none of them are proprietary secrets.
Written for the hardest cohorts
Long-term unemployed, prison leavers, returners, career changers and military leavers — people whose evidence rarely fits a keyword filter.
What an adviser sees
A working session, not a black box.
- 1
Where am I now
The participant's evidence, structured from their own account — including experience conventional CVs miss.
- 2
Where could I go
Occupational exploration grounded in a published taxonomy, with realistic requirements attached.
- 3
What is holding me back
Named gaps: evidenced, partial, or genuinely missing. No invented weaknesses.
- 4
What should I do next
A next action the participant can understand, repeat back, and own.
Privacy boundary
What stays private to a participant — and what a commissioner sees.
Private to the participant
Never shared with a caseworker or funder
- Full exploration and discovery results
- Coaching notes and adviser session detail
- Any ranking or scoring output — none is produced
Visible to the commissioner
Aggregate and disclosed method only
- Aggregate distance-travelled reporting for the cohort
- Disclosed, deterministic measurement method
- Published occupational taxonomy as the reference frame
Assurance
Bring the hard questions early.
We would rather be questioned at market engagement than after award. Every result can be walked back to its inputs.
Deterministic method
Disclosed, fixed weighting — the same inputs always give the same result.
Auditability
Every result can be traced back to the participant's own evidence.
Data ownership
The participant owns their record and can export or delete it.
No model training
No participant data is used to train models.
Programme contexts
- Restart and employability programmes
- Prison leaver and justice employment services
- Military resettlement and veteran support
- Local authority adult careers services
What we will not do
- Rank or score participants for sanction or exclusion
- Automate any decision about a person's future
- Lock participant records inside a provider contract
Run a real participant scenario with us.
Bring your assurance questions and a genuine case. We will run it live, in front of you.