Pipeline run
e34b80f4-4dda-47dd-8974-dc49ad8c2571
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
As the Lead Business Analyst, you will be a key player in driving the success of our projects by leading, inspiring, and mentoring Business Analyst (BA) teams across multiple streams. Acting as the da…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Business Analyst (Tech)
CASE Aslug: business-analyst-tech · id: 114 · source: db
Title 'Lead Business Analyst' not a catalog hit; nature-aware resolver mapped to same-nature role 'Business Analyst (Tech)': JD is an analyst nature role; candidate 1 (Business Analyst (Tech)) is the same nature and a correct generalization of the Lead Business Analyst role.
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Lead Business Analyst Location: Hyderabad Employment Type: Full-Time Reporting To: Business Analysis Practice Lead Role Overview As the Lead Business Analyst, you will be a key player in driving the success of our projects by leading, inspiring, and mentoring Business Analyst (BA) teams across multiple streams. Acting as the day-to-day business-technology liaison, you will ensure client needs translate into effective, technology-enabled solutions, applying deep insurance domain expertise in delivery. You will focus on ensuring accurate customer deliveries, fostering continuous improvement, and driving growth within the team, while feeding project learnings back to strengthen the wider Business Analysis Practice. Key Responsibilities • Leadership and Team Management: Lead, inspire, develop, and mentor BA teams with the right analytical, pattern based and consulting thinking, delivering consistent value to our clientele and fostering a collaborative, high-performance culture aligned with the practice's standards. • Project Delivery: Lead the BA workstream across Consulting, IT, data, and custom projects — driving requirements analysis, solution design inputs, and documentation to ensure business needs are accurately captured and translated for delivery teams. • Client Engagement: Act as the primary business-technology liaison for clients — translating business needs into technology requirements and technology capabilities into business terms — while serving as the key day-to-day point of contact, ensuring solutions meet or exceed expectations. • Domain Expertise: Apply deep insurance domain expertise — across verticals such as P&C, Life, or Health — along with a strong understanding of insurance data (policy, claims, underwriting) to provide strategic insights and drive innovative solutions for complex business challenges. • AI Enablement & Solutioning: Apply AI-assisted tools and techniques in daily BA delivery (e.g., requirements documentation, insurance platform analysis), following practice-wide standards; identify where AI/ML/GenAI can strengthen the client's business solution (e.g., underwriting automation, claims triage, policy servicing) and shape project-level recommendations accordingly. • CoE Support & Knowledge Assets: o Share practical templates, lessons learned, and reusable examples — including AI-enabled accelerators — from project delivery with the Practice Lead to support the practice's knowledge assets. o Support the Business Analysis CoE by sharing practical templates, lessons learned, and reusable examples from project delivery, and contributing to CoE initiatives as needed. • Quality Assurance & Continuous Improvement: Ensure all project deliverables meet the practice's quality standards, conduct reviews, implement corrective actions, and drive process improvements within delivery, feeding outcomes back to the Practice Lead for wider adoption. • Stakeholder Communication: Maintain clear and consistent communication with stakeholders, including clients, project managers, developers, and senior management. Provide regular project updates and reports. • Risk Management: Proactively identify and manage project risks. Develop and implement risk mitigation strategies to ensure project success. • Training & Development: Develop and deliver training programs to enhance the skills and capabilities of the team, applying career and skill-building frameworks defined by the Practice Lead. Foster an environment of learning and professional growth. Qualifications • Bachelor’s degree in engineering, IT, or related field; MBA preferred. • 8+ years of experience in Insurance and Business Analysis, with a strong BizTech focus, including 3+ years leading BA teams and implementing core insurance platforms. • Hands-on experience in at least one or two insurance verticals (e.g., P&C, Life, or Health) is mandatory; exposure to more than two is a plus. • Proven experience as a business-technology liaison, translating business needs into technology solutions. • Experience working on AI-enabled projects, with the ability to define requirements, guide solutioning, and support delivery of AI/ML/GenAI capabilities within insurance use cases. • Strong leadership, analytical, and communication skills, with proficiency in core insurance technology platforms, BA tools, and Agile/Scrum methodologies. • Relevant certifications (e.g., CBAP, AINS) are desirable but not mandatory.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Aliases — catalog
- AI (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Artificial Intelligence
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: AI appears in a large and growing share of job descriptions across software, data, and product roles; major vendors like Microsoft, Google, and AWS have broad AI offerings and hiring demand reflects mainstream adoption.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1020
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Machine Learning Frameworks
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Machine Learning Frameworks
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Aliases — catalog
- Agile (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Agile
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 3594
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Software Concepts, Patterns & Practices Catalog dimension db id 478
Library dimension (catalog)
Roles linked in library: Engineering Manager
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
All API 3 persistence rows
Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.
| Skill | Tag | Dimension | Skill↔dim | Role↔dim | Outcome | Notes |
|---|---|---|---|---|---|---|
| AI | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Agile | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Agile | in_db |
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | ML | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=EVERGREEN | |
| canonical_skill_proposed | GenAI | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=SHORT_LIVED |
nano JD Parser — gpt-4.1-nano click to toggle
Certifications
Show raw JSON
{
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"ai_kras": [
"Apply AI-assisted tools and techniques in daily BA delivery (e.g., requirements documentation, insurance platform analysis), following practice-wide standards; identify where AI/ML/GenAI can strengthen the client\u0027s business solution (e.g., underwriting automation, claims triage, policy servicing) and shape project-level recommendations accordingly.",
"Support the Business Analysis CoE by sharing practical templates, lessons learned, and reusable examples from project delivery, and contributing to CoE initiatives as needed."
],
"archetype_override_applied": true,
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"requirement": "required"
}
],
"experience": {
"max": null,
"min": 8,
"raw": "8+ years of experience in Insurance and Business Analysis"
},
"job_locations": [
{
"aliases": [],
"city": "Hyderabad",
"country": "India",
"state": null,
"work_mode": "null"
}
],
"role": "Lead Business Analyst",
"role_aliases": [
{
"name": "Business Analyst",
"reasoning": "generalized form of the picked role",
"relation": "synonym"
},
{
"name": "Senior Business Analyst",
"reasoning": "common industry alt for the same archetype",
"relation": "synonym"
},
{
"name": "Business Technology Analyst",
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"relation": "synonym"
}
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Role Overview",
"heading_was_present": true,
"source_marker": {
"first_5_words": "As the Lead Business Analyst,",
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},
"text": "As the Lead Business Analyst, you will be a key player in driving the success of our projects by leading, inspiring, and mentoring Business Analyst (BA) teams across multiple streams. Acting as the day-to-day business-technology liaison, you will ensure client needs translate into effective, technology-enabled solutions, applying deep insurance domain expertise in delivery.\n\nYou will focus on ensuring accurate customer deliveries, fostering continuous improvement, and driving growth within the team, while feeding project learnings back to strengthen the wider Business Analysis Practice.",
"word_count": 83
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{
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"word_count": 408
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
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{
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],
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{
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},
{
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}
],
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},
{
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{
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{
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"sentence": "You will focus on ensuring accurate customer deliveries, fostering continuous improvement, and driving growth within the team, while feeding project learnings back to strengthen the wider Business Analysis Practice.",
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},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "As the Lead Business Analyst, you will be a key player in driving the success of our projects by leading, inspiring, and mentoring Business Analyst (BA) teams across multiple streams.",
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}
],
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"score": 0.4842,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
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"similarity": 0.521
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Quality Assurance \u0026 Continuous Improvement: Ensure all project deliverables meet the practice\u0027s quality standards, conduct reviews, implement corrective actions, and drive process improvements within delivery, feeding outcomes back to the Practice Lead for wider adoption.",
"similarity": 0.4375
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Client Engagement: Act as the primary business-technology liaison for clients \u2014 translating business needs into technology requirements and technology capabilities into business terms \u2014 while serving as the key day-to-day point of contact, ensuring solutions meet or exceed expectations.",
"similarity": 0.4279
}
],
"matched_count": null,
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"role_id": 9,
"score": 0.4621,
"slug": "cloud-architect",
"total_count": null
},
{
"display_name": "AI Engineer",
"kra_matches": [
{
"kra_text": "Integrates AI model API responses with application business logic, database writes, event publishing, and downstream service orchestration.",
"sentence": "AI Enablement \u0026 Solutioning: Apply AI-assisted tools and techniques in daily BA delivery (e.g. , requirements documentation, insurance platform analysis), following practice-wide standards; identify where AI/ML/GenAI can strengthen the client\u0027s business solution (e.g. , underwriting automation, claims triage, policy servicing) and shape project-level recommendations accordingly.",
"similarity": 0.5245
},
{
"kra_text": "Documents AI feature capabilities, known limitations, failure modes, prompt versioning, and operational runbooks for engineering and product teams.",
"sentence": "CoE Support \u0026 Knowledge Assets: o Share practical templates, lessons learned, and reusable examples \u2014 including AI-enabled accelerators \u2014 from project delivery with the Practice Lead to support the practice\u0027s knowledge assets. o Support the Business Analysis CoE by sharing practical templates, lessons learned, and reusable examples from project delivery, and contributing to CoE initiatives as needed.",
"similarity": 0.4315
},
{
"kra_text": "Integrates AI model API responses with application business logic, database writes, event publishing, and downstream service orchestration.",
"sentence": "Acting as the day-to-day business-technology liaison, you will ensure client needs translate into effective, technology-enabled solutions, applying deep insurance domain expertise in delivery.",
"similarity": 0.4172
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 13,
"score": 0.4577,
"slug": "ai-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
"kra_text": "Writes runbooks, deployment guides, incident playbooks, and infrastructure documentation to support operations and knowledge sharing.",
"sentence": "CoE Support \u0026 Knowledge Assets: o Share practical templates, lessons learned, and reusable examples \u2014 including AI-enabled accelerators \u2014 from project delivery with the Practice Lead to support the practice\u0027s knowledge assets. o Support the Business Analysis CoE by sharing practical templates, lessons learned, and reusable examples from project delivery, and contributing to CoE initiatives as needed.",
"similarity": 0.4629
},
{
"kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
"sentence": "Quality Assurance \u0026 Continuous Improvement: Ensure all project deliverables meet the practice\u0027s quality standards, conduct reviews, implement corrective actions, and drive process improvements within delivery, feeding outcomes back to the Practice Lead for wider adoption.",
"similarity": 0.4547
},
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
"sentence": "Training \u0026 Development: Develop and deliver training programs to enhance the skills and capabilities of the team, applying career and skill-building frameworks defined by the Practice Lead.",
"similarity": 0.4539
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.4572,
"slug": "devops-engineer",
"total_count": null
}
],
"skill_match_roles": []
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "A",
"chosen_role": {
"display_name": "Business Analyst (Tech)",
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"matched_count": null,
"matched_skills": null,
"role_id": 114,
"score": 0.95,
"slug": "business-analyst-tech",
"total_count": null
},
"confidence": 0.95,
"consensus_evidence": {},
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [],
"matched_kras": [],
"matched_skills": [],
"new_role_display_name": null,
"new_role_domain": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Title \u0027Lead Business Analyst\u0027 not a catalog hit; nature-aware resolver mapped to same-nature role \u0027Business Analyst (Tech)\u0027: JD is an analyst nature role; candidate 1 (Business Analyst (Tech)) is the same nature and a correct generalization of the Lead Business Analyst role.",
"role_aliases": [],
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 10,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 2063,
"r_and_r_preview": "As the Lead Business Analyst, you will be a key player in driving the success of our projects by leading, inspiring, and mentoring Business Analyst (BA) teams across multiple streams. Acting as the da",
"role_display_name": "Business Analyst (Tech)",
"role_slug": "business-analyst-tech",
"status": "pending"
},
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 26330,
"role_display_name": "Business Analyst (Tech)",
"role_slug": "business-analyst-tech",
"skill_name": "ML",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 26331,
"role_display_name": "Business Analyst (Tech)",
"role_slug": "business-analyst-tech",
"skill_name": "GenAI",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
"alias_matches": [
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 1990,
"existing_alias_text": "AI",
"input_term": "AI",
"matched_canonical": {
"category_id": 2,
"display_name": "AI",
"id": 1347,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "ai",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 868,
"existing_alias_text": "Agile",
"input_term": "Agile",
"matched_canonical": {
"category_id": 8,
"display_name": "Agile",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
"slug": "agile",
"sub_category_id": 3594,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
{
"display_name": "Engineering Manager",
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"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
],
"chosen_role": {
"display_name": "Business Analyst (Tech)",
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"rationale": "Title \u0027Lead Business Analyst\u0027 not a catalog hit; nature-aware resolver mapped to same-nature role \u0027Business Analyst (Tech)\u0027: JD is an analyst nature role; candidate 1 (Business Analyst (Tech)) is the same nature and a correct generalization of the Lead Business Analyst role.",
"role_archetype": null,
"slug": "business-analyst-tech",
"source": "db"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
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"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "AI",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
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"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "Agile",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Software Concepts, Patterns \u0026 Practices",
"id": 478,
"rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
"slug": "software-concepts-patterns-practices",
"source": "db"
},
"input_skill": "Agile",
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"roles_from_db": [
{
"display_name": "Engineering Manager",
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"role_archetype": null,
"slug": "engineering-manager",
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}
]
}
],
"input_final_skills": [
"AI",
"ML",
"GenAI",
"Agile"
],
"input_llm_skills": [
"AI",
"ML",
"GenAI",
"Agile"
],
"new_aliases_persisted": 0,
"run_id": "e34b80f4-4dda-47dd-8974-dc49ad8c2571",
"skills_detail": [
{
"aliases_in_db": [
{
"alias_text": "AI",
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"id": 1990,
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"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "AI",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "ai",
"sub_category_id": 1020,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "AI",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "AI",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "ML",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Machine Learning Frameworks",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "EVERGREEN",
"version_strategy": "UNVERSIONED",
"volatility": "STABLE"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "ml",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "GenAI",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Machine Learning Frameworks",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "SHORT_LIVED",
"version_strategy": "VERSIONED",
"volatility": "FAST"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "genai",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Agile",
"alias_type": "CANONICAL",
"id": 868,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 8,
"display_name": "Agile",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
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"slug": "d_init_01",
"source": "db"
},
"input_skill": "Agile",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Software Concepts, Patterns \u0026 Practices",
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"rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
"slug": "software-concepts-patterns-practices",
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},
"input_skill": "Agile",
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"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
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"role_archetype": null,
"slug": "engineering-manager",
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}
]
}
],
"input_skill": "Agile",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"ML",
"GenAI"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Business Analyst (Tech)",
"id": 114,
"rationale": "Title \u0027Lead Business Analyst\u0027 not a catalog hit; nature-aware resolver mapped to same-nature role \u0027Business Analyst (Tech)\u0027: JD is an analyst nature role; candidate 1 (Business Analyst (Tech)) is the same nature and a correct generalization of the Lead Business Analyst role.",
"role_archetype": null,
"slug": "business-analyst-tech",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "AI",
"tag": "in_db"
},
{
"skill": "ML",
"tag": "new"
},
{
"skill": "GenAI",
"tag": "new"
},
{
"skill": "Agile",
"tag": "in_db"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
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"dimension": {
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"display_name": "React Frontend Development",
"id": 96,
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"source": "db"
},
"dimension_id": 96,
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"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": true,
"skill_id": 1347,
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},
{
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"dimension": {
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"source": "db"
},
"dimension_id": 96,
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"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": true,
"skill_id": 520,
"skill_tag": "in_db",
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},
{
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"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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{
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}
],
"skill_dimension_saved": true,
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}
],
"new_skills_created": 0,
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"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "e34b80f4-4dda-47dd-8974-dc49ad8c2571"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.