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DISHA 4.0 HCOS

CAREER INTELLIGENCE

See the Connections Behind Every Career.

Careers are not linear ladders. They are networks of skills, experiences, learning, opportunities, people and choices. The Career Intelligence Graph™ connects those relationships to help DISHA discover pathways, identify possibilities and navigate human-capital opportunity.

See How Your Digital Twin Connects

Person

Click a node — the more you explore, the more connections become visible.

A Career Is Not a Destination.
It Is a Network of Possibilities.

A job title tells you where someone works today. A career is much larger. It connects skills, education, experience, roles, industries, organizations, learning pathways, opportunities, aspirations and people. The Career Intelligence Graph™ is designed to connect those relationships—so DISHA can help people and organizations explore what is possible, and understand the pathways between where they are and where they want to go.

THE LIMIT OF LISTS

A List Can Tell You What Exists. A Graph Can Show You What Connects.

Traditional career platforms often organize information into separate lists: jobs, courses, skills, occupations, companies, credentials. Lists are useful. But a career decision rarely depends on one item. It depends on the relationships between them.

Job list
Course list
Skill list
Career list
Connected career intelligence

FROM SEARCH → DISCOVERY

Not a Better Search Engine. A Different Question.

Traditional search

“Find Product Manager jobs.”

Returns:

Jobs

Graph intelligence

“What pathways could take me from my current capability profile toward Product Management?”

Returns:

Current skillsSkill gapsRelevant learningIntermediate rolesExperience opportunitiesOrganizationsTarget rolesAlternative pathways

A Connected Map of Human-Capital Possibilities

The Career Intelligence Graph™ represents relationships among people, capabilities, skills, learning, occupations, roles, organizations, industries and opportunities. By connecting these elements, DISHA can reason about pathways rather than treating every career decision as an isolated search.

People
Skills
Learning
Experience
Roles
Occupations
Industries
Organizations
Opportunities

The Graph's Core Nodes

Eleven node families, one connected map. Click a node.

Person

Who is navigating the graph?

Explore the Career Graph

Illustrative

One person, one graph, many connections. Click a role, a skill or a goal — the graph highlights what connects to it.

Illustrative Career Intelligence Graph — Maya is not a real person and these are illustrative connections.

MAYA

Product Analyst

The graph expands…

Current capabilities

Roles

Learning

Product StrategyAdvanced AnalyticsUX ResearchLeadership

Opportunities

ProjectsCoursesRolesMentorship

Future exploration

FROM ONE NODE TO A CAREER PATHWAY

A Journey Generated From Graph Relationships.

Follow one connection at a time — from a current role to a possible one.

Current

Product Analyst

Capability

Product analytics

Development

Strategic thinking

Experience

Product strategy project

Adjacent role

Senior Product Analyst

Target exploration

Product Strategy

Possible role

Product Manager

THE GRAPH HAS NO SINGLE “RIGHT PATH”

There Is Rarely Only One Way Forward.

A person wants Product Management. The Graph might reveal several routes — branching out, and reconnecting at the destination.

Product Management

Path A

Product Analyst
Senior Product Analyst
Product Manager

Path B

Business Analyst
Associate Product Manager
Product Manager

Path C

UX Research
Product Strategy
Product Manager

Path D

Software Engineering
Technical Product Management
Product Manager

Path E

Customer Success
Product Operations
Product Management

The Graph reveals pathways. The person chooses the direction.

SEE THE CAREER GRAPH IN ACTION

What If Career Discovery Was About Connections, Not Just Search?

0–15s · A search returns hundreds of jobs15–30s · Zoom out — skills, learning, roles, industries appear30–50s · The nodes begin connecting50–70s · A career pathway forms70–90s · Alternative pathways appear90–120s · Change a skill or goal — the graph changes

Don't just search for the next job. Understand the network behind the next career move.

CHANGE ONE NODE

What Happens When One Connection Changes?

The Genome page asks what if one thing changed about the person. The Twin asks what if one thing changed in time. The Graph asks what happens when one connection changes.

Add a skill:

Generative AI

The graph updates:

New roles

AI Product Manager GenAI Product Analyst

New learning

Applied AI courses AI certifications

New industries

AI-first product teams Platform companies

New opportunities

AI projects AI mentorship

New pathways

Analytics → AI product

Illustrative demonstration — one change ripples across roles, learning, industries, opportunities and pathways.

Careers Branch. Careers Merge. Careers Change Direction.

The same person's path can split, reconnect and point somewhere new — because the capabilities underneath travel.

Product Analyst
Product Manager/Product Strategy/Business Analytics
Data Strategy
Software Engineer
Technical Product→Product Manager→Product Strategy
Teacher
Learning Designer→EdTech Product→Product Strategy

Skills can travel between careers.

SKILLS ARE THE BRIDGES

Skills Connect Careers That Job Titles Separate.

Business AnalystProduct AnalystMarketing Analyst
Data Analysisthe bridge
Data AnalystOperations AnalystStrategy Analyst

Data Analysis connects all six:

Business AnalystProduct AnalystMarketing AnalystData AnalystOperations AnalystStrategy Analyst
ConsultingLeadershipSales
Communicationthe bridge
ProductEducationManagement

Communication connects all six:

ConsultingLeadershipSalesProductEducationManagement

A skill can be a bridge between seemingly unrelated career destinations.

Explore Skills Intelligence

LEARNING IS PART OF THE GRAPH

Development Connected to Destination — Not a Separate Catalogue.

Career goal

Product Manager

Capability gaps

StrategyStakeholder ManagementExperimentation

Learning pathways

CourseProjectCertificationMentorship

Evidence

AssessmentPortfolioExperience

Career pathway

Product roles

Learning belongs inside career intelligence — connected to where it can lead.

Explore Learning Intelligence

The Graph Connects Possibility to Action.

A person might discover:

CareerSkillCourseProjectInternshipJobMentorNext role

The Graph becomes a bridge between:

Intelligence↔Opportunity

FROM QUESTION TO GRAPH

Start With a Question. Let the Graph Find the Connections.

The Graph Knows What Is Connected. The Genome Helps It Understand Who You Are.

Genome

describes the person

PersonSkillsExperienceEducationCredentialsAspirations
Open the Genome page →

Career Intelligence Graph

matches those characteristics against

SkillsRolesLearningIndustriesOrganizationsOpportunities

Output

Relevant pathways

Time + Connections + Reasoning

Digital Twin

adds time

Current stateRecent changeTrajectory
Open Digital Twin →

Graph

adds connections

What is connected to the current state?
Open Graph →

AI

adds reasoning

What should the person explore?
Open AI →

One model of the person, locked across DISHA

Human Capital Genome™ says: “A person is more than a profile.”

Human Digital Twin™ says: “A person is more than a snapshot.”

Career Intelligence Graph™ says: “A career is more than a job title.”

Genome understands the person.Digital Twin understands the journey.Career Intelligence Graph understands the possibilities.AI connects the intelligence to action.

When the Graph Meets AI

AI can reason across graph relationships — traversing them the way a thoughtful counselor would.

A person asks:

“I want to move from pediatric healthcare into health-tech product management.”

The system could conceptually traverse:

Current experienceHealthcare knowledgeDomain expertiseProduct skillsCapability gapsLearningRelevant projectsAdjacent rolesTarget opportunities

The AI responds:

“Here are several pathways you could explore.”

Not:

“This is the career you should choose.”

Multi-Dimensional Career Discovery

Filter the graph through nine lenses — a far more powerful discovery model than searching by job title.

What can I do?

AnalyticsResearchCommunication

How Far Is the Next Career Move?

Not physical distance — conceptual distance. How much capability and experience sits between where someone is and where they could go.

Very Close

High capability overlap

e.g. Senior Product Analyst

Adjacent

Some capability development required

e.g. Product Operations

Emerging

Meaningful transition

e.g. Product Strategy

Transformational

Major capability and experience shift

e.g. Healthcare Product Management

Conceptual bands for orientation — not a validated numerical score.

Build a Path From Here to There.

Pick a starting point, a direction and what matters most — the Graph assembles an illustrative pathway.

Where are you now?

Where do you want to explore?

What matters most?

The Same Graph, Many Perspectives

Individual

“Where can I go?”

From Individual Careers to Workforce Intelligence

PersonSkillsRolesOrganizationsIndustryRegionWorkforce

The same graph relationships that help one person explore a career can, when appropriately aggregated and governed, help organizations and ecosystems understand capability supply, demand and pathways.

Build Your Own Career Graph

Four choices — the Graph assembles an illustrative picture of what could connect.

Step 1 — Choose your current role

Step 2 — Choose three skills (0/3)

Step 3 — Choose one career aspiration

Step 4 — Choose one industry

Intelligence Can Show Possibilities. People Still Choose.

Career intelligence should expand the range of possibilities a person can see—not make the decision for them. A graph can reveal relationships, pathways and options. It cannot know every dimension of a person's life, values, circumstances or aspirations. DISHA should therefore use graph intelligence to support exploration and informed decision-making while preserving human agency.

How the Career Intelligence Graph Works

Data sources
Human-capital data
Entity & relationship model
Knowledge graph
Career Intelligence Graph
AI reasoning
Pathways · Discovery · Recommendations

Graph entities

PersonSkillCourseCredentialOccupationRoleOrganizationIndustryOpportunityLocationExperienceCareer Goal

Relationships

HASLEARNSUSESREQUIRESLEADS TORELATED TOOCCURS INOFFERSCONNECTS TO

Every Important Connection Should Have a Reason.

When the system says:

Product Analyst → Product Manager

…you should be able to ask:

A Career Graph Must Not Become a Career Cage.

Human agency

The graph expands choices rather than prescribing them.

Transparency

Important relationships should be understandable.

Evidence

Connections should distinguish evidence from inference.

Fairness

Career pathways should be evaluated for potential bias and exclusion.

Privacy

Human-capital information should be used according to appropriate permissions and governance.

The purpose of intelligence is to expand possibility—not narrow it without explanation.

PRODUCT DEMO

Build a Career Path in 60 Seconds

Choose current roleChoose skillsChoose goalGraph expandsAlternative pathways appearSelect pathExplore learningExplore opportunitiesAsk AI

Your next career move may be closer—or more connected—than you think.

Questions, Answered Honestly

A connected intelligence model representing relationships among people, skills, learning, careers, roles, organizations, industries and opportunities.

CAREER INTELLIGENCE GRAPH™

Don't Just Ask Where You Can Go.
Explore What Connects You There.

Discover the skills, learning, experiences, roles and opportunities connected to your next possibility.

Experience DISHA 4.0Ask DISHA AI