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L&D teams design transition pathways based on job architecture logic and manager opinion, not on what skills actually co-occur in roles that employers are actively hiring for.
Internal skills inventories overestimate adjacency. A "Python proficiency" in a data analyst role rarely maps to what a machine learning engineer role requires in practice, the gap is wider than it looks on paper.
The most valuable mobility opportunities moving people across functions are also the hardest to assess. Without co-occurrence mapping, organisations stick to safe vertical moves and miss horizontal potential.
Without market-calibrated transition difficulty scores, L&D can't estimate programme length, cost, or success likelihood. Every mobility initiative is a leap of faith rather than a calculated investment.
Which skills consistently appear together in real job postings: across roles, seniority levels, and industries. The foundation of every adjacency score.
The percentage of skills shared between different job families: quantifying how feasible a cross-functional move is based on what employers actually require.
Roles grouped by skill similarity into mobility clusters: revealing natural transition neighbourhoods that HR job architecture often misses.
A difficulty score per pathway derived from skill gap size, skill complexity, and market demand: giving L&D a realistic programme length and investment estimate.
* Indicative figures for representation only. Based on aggregated posting signals.
L&D teams lose credibility when reskilling programmes stall halfway because skill gaps were larger than expected. Market-validated adjacency data lets you size every programme accurately from day one.
Move beyond "you should consider role X" to "here are three pathways, their adjacency scores, and the specific skills you'd need to close the gap." That's a conversation that builds trust and retains people.
Every successful internal move that replaces an external hire saves 40–80% of total hiring cost while preserving institutional knowledge. But you can only make the financial case when you have adjacency evidence.
A pre-built mobility mapping toolkit powered by JobsPikr’s skill co-occurrence and adjacency data. Design evidence-backed transition pathways, estimate reskilling investment, and identify your highest-ROI internal mobility opportunities, all grounded in what the market actually demands.
| Dimension | JobsPikr | Internal Skills Inventory | Job Architecture Only |
|---|---|---|---|
|
Pathway Evidence Basis |
Live market co-occurrence |
Self-reported skills |
Job level logic only |
|
Cross-Functional Visibility |
Full overlap index |
Limited to function |
Rarely mapped |
|
Transition Difficulty Score |
Market-calibrated estimate |
Not available |
Not available |
|
Programme Length Estimation |
Based on real skill gap data |
Manager opinion only |
Not available |
|
ROI Calculation |
Adjacency × cost model |
Anecdotal only |
Not available |
|
Refresh Frequency |
Monthly market update |
Annual survey cycle |
Infrequent reviews |
Match your internal job titles to JobsPikr's normalised role taxonomy, aligning your workforce to the same skill framework used across millions of live postings.
For every source role, generate adjacency scores, shared skill lists, and gap estimates for all viable destination roles, ranked by transition feasibility and market demand.
Build L&D programmes sized to real skill gaps, prioritise the highest-ROI pathways, and make the financial case for internal mobility with market-backed evidence.
Get skill co-occurrence mapping, adjacency scores, and cross-functional overlap data — and design reskilling programmes that actually work.
Transform job data into market signals for strategic decision-making. From the makers of PromptCloud.
