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DISHA 4.0 HCOS

GOAL-CENTRIC HUMAN CAPITAL INTELLIGENCE

Know How Ready You Are for What Comes Next.

Readiness Intelligence™ helps connect a goal with the capabilities, evidence, experience, behaviours, knowledge and conditions required to pursue it. See where you are ready, where the gaps are, what could strengthen your readiness, and how your readiness changes over time.

Current state

Product Thinking
Analytics
Communication
Strategy
Stakeholder Management
Leadership

Goal

Product Manager

Readiness
74% — Illustrative

26% readiness gap

Ready for What?

You may be ready for one career but not another.

Ready for a course but not its advanced level.

Ready for an interview but not yet ready for the role.

Ready to perform a task but not yet ready to lead a team.

Readiness Intelligence™ measures the relationship between where you are now and what your goal requires next.

Readiness Is a Relationship, Not a Property.

A person doesn't simply have “74% readiness.” They have 74% readiness for this particular goal, based on this particular evidence, at this particular point in time.

Person+Goal+Requirements+Current evidence+Context

Readiness Intelligence

A Decision-Support Layer Between Potential and Action.

Readiness Intelligence™ is designed to answer a practical question: “Given what we know about this person and what this goal requires, how prepared are they to take the next step?” It does not simply produce a score. It identifies the dimensions behind that score, the evidence supporting them, the gaps that may matter, the confidence of the assessment and the actions that could improve readiness.

UnderstandMeasureIdentify gapsPrioritizeDevelopDemonstrateReassess

Capability Does Not Automatically Mean Readiness.

Someone may possess:

Python — Advanced

But a Data Scientist role might additionally require:

StatisticsMachine learningProject experienceCommunicationDomain knowledge

Capability

“I can do this.”

Readiness

“I have the relevant combination of capabilities, evidence, experience and context needed to take on this particular objective.”

Everything Starts With a Goal.

Career

“Become a Product Manager”

Course

“Enter an Advanced Data Science programme”

Job

“Apply for a Senior Analyst role”

Certification

“Prepare for a professional certification”

Project

“Lead a digital transformation project”

KPI

“Achieve 95% customer retention”

Promotion

“Move into a leadership role”

Entrepreneurship

“Launch a technology venture”

Mobility

“Work internationally”

Learning

“Master a new capability”

Readiness Intelligence is much broader than career assessment.

Every Goal Has a Profile

GoalProduct ManagerRequires

Knowledge

Product strategyMarket understanding

Skills

AnalyticsCommunicationPrioritization

Experience

Product exposureCross-functional work

Behaviours

Decision-makingCollaboration

Evidence

ProjectsAchievementsRelevant experience

Context

IndustryOrganizationRole level

The Goal Profile becomes the benchmark against which readiness is evaluated.

The Readiness Engine

GoalGoal requirements
CapabilityEvidenceExperienceKnowledgeBehaviourContext
Readiness engine
ScoreGapsConfidence
Next actions

The Six Core Readiness Dimensions

A standard core framework across DISHA — goal-specific dimensions can be added.

01

Knowledge Readiness

Does the person possess the relevant knowledge?

02

Capability Readiness

Can the person perform the required capabilities?

03

Experience Readiness

Have they applied those capabilities in relevant contexts?

04

Evidence Readiness

Is there credible evidence demonstrating the required capability?

05

Behavioural / Execution Readiness

Can they translate knowledge and capability into appropriate action?

06

Context Readiness

Does the person fit the specific environment, role, level or conditions?

Then, Goal-Specific Dimensions

Course readiness

Prerequisite knowledgeAcademic foundationLearning skillsLanguageTechnical prerequisites

Career readiness

SkillsExperienceEmployabilityCareer alignmentEvidence

Leadership readiness

Decision-makingCommunicationPeople leadershipStrategic thinkingInfluence

Entrepreneurship readiness

Problem identificationMarket understandingExecutionFinancial literacyRisk management

KPI readiness

Baseline capabilityProcess knowledgeResourcesExecution capabilityMeasurement discipline

The framework is standardized. The requirements are contextual.

Not One Number. Four.

These should never be conflated.

Readiness Score

How close is the current state to the defined requirement profile?

74 / 100

Readiness Confidence

How strong is the evidence supporting that assessment?

82 / 100

Readiness Gap

What remains between the current state and the defined goal requirement?

26 points of modeled gap

Readiness Momentum™

Am I moving toward readiness?

↑ Improving

A Readiness Score of 70% does not mean that a person is “70% capable” or “70% valuable.” It means that, under the defined model, available evidence indicates a particular level of alignment between the person's current state and the requirements of the selected goal.

NEW PROPRIETARY CONCEPT

Readiness Vector™

R = [Knowledge, Capability, Experience, Evidence, Execution, Context]

R = [82, 79, 68, 74, 71, 65]

The single Readiness Score is a summary of the vector, not the entire reality.

The score tells you the headline. The Readiness Vector tells you the story.

Goal-Specific Readiness

MAYA

Goal A

Product Manager

74

Goal B

Data Analyst

89

Goal C

Entrepreneur

61

Goal D

Team Leader

58

One person. Multiple readiness states.

See how Maya's twin carries these states through time →

Check Your Readiness

Illustrative Readiness Experience — Demonstration Only

Illustrative values computed in your browser — not a validated production methodology, not a judgment of a person.

Step 1 — What are you trying to become ready for?

One Framework. Many Kinds of Ready.

The same goal → requirements → current state → gaps → action architecture works across career, education, employment, performance, projects, leadership, entrepreneurship, mobility and AI.

Am I Ready for This Course?

Goal: Advanced Data Science Programme

Mathematics prerequisiteStatisticsProgrammingData handlingFoundational MLLearning readiness

Course readiness

81

Prerequisite coverage

94%

Foundation gap

Statistics

Recommended preparation: 2 prerequisite learning modules

What Would Move You Closer?

Priority 1

Develop stakeholder-management experience.

Impact: HighEffort: Medium

Priority 2

Complete strategic product-learning module.

Impact: MediumEffort: Low

Priority 3

Lead one cross-functional project.

Impact: HighEffort: High

Reassess readiness — a continuous loop.

NEW PROPRIETARY CONCEPT

Readiness Pathway™

Current state62
Priority gapLeadership
LearningLeadership programme
ExperienceLead project
EvidenceProject outcome
Reassessment71
Next gapStrategic decision-making
ReadinessDevelopmentEvidenceReadiness

Readiness → Development → Evidence → Readiness. A named DISHA product workflow.

Readiness Momentum, Explained

Month 1

58

Month 3

64

Month 6

71

Why it changed:

+4 capability+3 evidence+5 experience−1 requirement change

The system shows why the score changed — not just that it changed.

Goals Change Too.

Suppose the goal was Data Analyst — and the role requirements change because the organization introduces AI tools. The Readiness Profile updates. Readiness is dynamic because both the person and the goal can change.

WHAT DOES “READY” ACTUALLY MEAN?

Readiness Intelligence in 90 Seconds

0–15s · A person wonders: “Am I ready?”15–30s · Goals appear: career, course, job, promotion, KPI, leadership30–45s · “Readiness depends on what you're preparing for.”45–65s · Goal requirements assemble65–80s · The current profile is compared80–95s · A readiness score appears — then gaps — then actions

Don't just ask where you are. Know what you need to become ready for what's next.

Try Readiness Intelligence

Choose a goal, build your current state, add evidence — and get an illustrative readiness profile with gaps and actions.

Readiness + the Human Digital Twin™

Digital Twin

Current state · History · Momentum

Readiness Intelligence

“Given this state and trajectory, how ready is this person for the goal?”

Digital Twin = evolving state. Readiness Intelligence = goal-relative interpretation.

Readiness + the Human Capital Genome™

Genome provides

Capabilities · Education · Experience · Evidence · Aspirations

Readiness maps them against

Goal requirements

Genome = what the person has. Readiness = how that evidence aligns with the goal.

Readiness + the Career Intelligence Graph™

Current personReadinessGapsCareer Intelligence GraphAlternative pathwaysLearning / Experience / Opportunities

The Graph answers “What is connected to this goal?” Readiness answers “How close am I to it?”

Readiness + the Human Capital Score™

Human Capital Score™

A broader composite view of human-capital readiness dimensions.

Readiness Intelligence™

A goal-specific intelligence system that evaluates readiness against a defined target.

The Human Capital Score can become one input into Readiness Intelligence rather than its competitor.

Ask AI Why You're Not Ready Yet.

“Why is my readiness for this role 68?”
“What should I develop first?”
“Show me three alternative paths.”
“Build me a 90-day readiness plan.”
“What evidence should I collect?”

Readiness Is Not Only About People.

Workforce

Are we ready for AI transformation?

Team

Are we ready to deliver this project?

Institution

Are learners ready for employment?

Department

Are we ready for a new operating model?

Organization

Are we ready for digital transformation?

Ecosystem

Is the regional workforce ready for emerging industries?

Team Readiness

Goal: Launch AI-enabled customer service

Team readiness

67

Technical
74
Process
61
Leadership
72
Data
58
Change capability
63

Critical gaps:

Data readinessChange management

Suggested action: targeted capability development.

Organizational Readiness

Goal: Enterprise AI transformation

PeopleTechnologyDataLeadershipGovernanceProcessCultureChange readiness

Illustrative: 69

The production model would need validated definitions, data, benchmarks and weighting before this becomes a consequential organizational assessment.

The Readiness Maturity Ladder

A conceptual maturity model unless validated.

01

Aware

Knows what is required.

02

Preparing

Building capability.

03

Capable

Can demonstrate core requirements.

04

Ready

Can reasonably pursue the defined objective.

05

Advanced

Demonstrates capability beyond baseline requirements.

06

Adaptive

Can perform under changing conditions.

A Score Without Confidence Can Be Misleading.

Person A

Readiness

78

Confidence

42

Much of the profile is self-declared.

Person B

Readiness

72

Confidence

91

The evidence is strong.

NEW PROPRIETARY CONCEPT

Readiness Evidence Ledger™

Evidence availableEvidence qualityEvidence ageEvidence sourceEvidence relevance

A structured record behind every major readiness assessment.

Never Ask “Why Did I Get This Score?” Without an Answer.

Goal

What were you being assessed against?

Requirements

What did the goal require?

Evidence

What information was considered?

Weighting

What mattered most?

Gaps

What reduced readiness?

Confidence

How strong was the evidence?

Change

What has changed?

Next steps

What could improve readiness?

Readiness Should Open Doors, Not Close Them.

Context

A score is meaningful only in its defined context.

Transparency

People should understand the basis of the assessment.

Evidence

Inference should be distinguished from verified evidence.

Fairness

Models should be evaluated for unintended bias.

Human agency

People remain decision-makers.

Appeal and correction

Users should be able to challenge inaccurate information.

No deterministic labeling

“Not ready today” must never become “will never be ready.”

Where Readiness Intelligence Sits

Human Capital Genome™

What makes up this person?

Human Digital Twin™

How is this person evolving?

Career Intelligence Graph™

What is this person connected to?

Human Capital Score™

What does the overall human-capital evidence indicate?

Readiness Intelligence™

How ready is this person for this specific goal?

Human Capital Lifecycle

Where is the person in the larger human-capital journey?

AI Command Center

What can AI do with all this intelligence?

GoalRequirementsCurrent stateEvidenceReadiness VectorReadiness ScoreConfidenceGapActionNew evidenceReassessment

Human Capital Score

“Here is what the human-capital evidence tells us.”

Readiness Intelligence

“Here is how that evidence relates to what you are trying to achieve.”

Readiness Is Not a Label.
It Is a Journey Between a Current State and a Goal.

Questions, Answered Honestly

A goal-oriented intelligence framework that evaluates how an individual's or organization's current state aligns with the requirements of a defined objective.

Current state

Product Thinking
Analytics
Communication
Strategy
Stakeholder Management
Leadership

Goal

Product Manager

Readiness
Bridged

The bridge fills as readiness grows.

READINESS INTELLIGENCE™

Don't Just Know Where You Are.
Know What You Need to Become Ready.

Define the goal. Understand the requirements. Measure the gap. Build the capability. Gather the evidence. Reassess the journey.