Career Transition Planning
Plan a lateral move or cross-industry career change — identifying transferable skills, gaps, and a realistic path forward.
POST /v1/hiring/career-transition-planning
Analyses the viability of a career transition, identifies transferable skills, surfaces gaps unique to the new domain, and produces a phased action plan.
Required inputs
| Field | Type | Notes |
|---|---|---|
input.user_id | string | Your platform's user ID |
input.profile | ProfileInput | Current background and skills |
input.career_goals | CareerGoalsInput | Target role and transition_type |
Optional inputs
| Field | Type | Notes |
|---|---|---|
input.resume | ResumeInput | Resume to extract additional transferable evidence |
input.job_description | JobDescriptionInput | Specific target role to analyse against |
input.session_history | SessionHistoryInput | Continue a multi-turn coaching conversation |
transition_type values
| Value | Meaning |
|---|---|
adjacent | Same function, different industry |
cross_industry | Different function and industry |
restart | Career break re-entry or major pivot |
Example request
curl -X POST https://api.liyaengine.ai/v1/hiring/career-transition-planning \
-H "Authorization: Bearer $LIYA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"user_id": "usr_123",
"profile": {
"title": "Financial Analyst",
"years_of_experience": 6,
"skills": ["Excel", "SQL", "financial modelling", "Python basics"]
},
"career_goals": {
"target_role": "Data Analyst",
"target_industry": "Technology",
"timeline": "6_months",
"transition_type": "adjacent",
"career_change": true
}
}
}'Response
{
"success": true,
"data": {
"output": {
"readiness": {
"overall_score": 74,
"confidence": { "score": 0.88, "level": "high" },
"components": [
{ "name": "Transferable Skills", "score": 80, "feedback": "SQL and analytical rigour transfer directly." },
{ "name": "Domain Gap", "score": 55, "feedback": "Missing BI tooling and tech-industry context." }
],
"interpretation": {
"level": "strong",
"summary": "A well-supported adjacent transition — 6 months of focused upskilling closes the core gaps.",
"market_position": "Competitive against other career-changers targeting Data Analyst roles."
}
},
"transferable_strengths": [
{ "strength": "SQL proficiency", "evidence": "Used daily for financial reporting", "relevance": "Directly applicable to data analyst querying work" },
{ "strength": "Financial modelling", "evidence": "Built forecasting models for planning cycles", "relevance": "Demonstrates the analytical rigour data roles require" }
],
"gaps": [
{ "gap": "Data visualisation tools (Tableau, Looker)", "bridge_moves": ["Complete a Tableau fundamentals course", "Rebuild one existing report in Tableau"], "severity": "significant" },
{ "gap": "Advanced Python (pandas, numpy)", "bridge_moves": ["Complete a Python for data analysis course"], "severity": "significant" },
{ "gap": "Business intelligence context in tech", "bridge_moves": ["Study how target companies structure BI/analytics teams"], "severity": "minor" }
],
"story_angles": ["Reframe finance experience as data-driven decision-making, not just reporting"],
"portfolio_projects": [
{ "title": "Public dataset analysis", "scope": "End-to-end analysis + Tableau dashboard on a public dataset", "timebox": "2 weeks" }
],
"network_map": [
{ "persona": "Data analysts at target companies", "communities": ["local data meetups", "alumni network"] }
],
"milestones": [
{ "horizon": "30_days", "objectives": ["Complete Python for data analysis course", "Start first portfolio project"] },
{ "horizon": "60_days", "objectives": ["Publish 2 portfolio projects to GitHub", "Begin targeted applications"] },
{ "horizon": "90_days", "objectives": ["Land first data analyst interviews"] }
],
"actions": [
{ "action_id": "skill_gap_analysis", "action_type": "secondary", "title": "See detailed skill gaps", "priority": 2 }
],
"confidence": { "score": 0.88, "level": "high" }
}
}
}