Readiness — Interview Preparedness Index & Graph

ES Reference: Phase 2 (INTOS-ES-P2-001) — Readiness Index and Graph, Section 7

Overview

The Readiness Index measures your preparation completeness and evidence quality for a specific job at a point in time. It is not an offer probability or a prediction of interview success — it is a transparent, versioned assessment of how well-prepared you are across six weighted components, with concrete actions to improve each one.

The companion Competency Graph shows role-required competencies mapped against your evidence strength, answer readiness, and practice performance — giving you a visual heat map of where to focus.

Key Principles

• Readiness is preparation completeness, not success probability — never conflate the two
• Every component shows its contribution, inputs, and actions that can change it
• Missing data is disclosed, not fabricated — "not assessed" is an honest state
• Historical snapshots track trends — see your readiness evolve over time
• Scoring is versioned and deterministic — AI may classify inputs but does not hide arithmetic
• Renormalize when components have no data — disclose provisional status

Readiness Index Components

Component	Weight	Inputs	What It Measures
Role Alignment	25%	Requirement states, importance weights, knockout risks	How well your evidence covers the role's requirements
Career Evidence Strength	20%	Verification status, ownership clarity, scope, metrics, conflicts	Quality and trustworthiness of your evidence foundation
Answer Readiness	15%	High-priority questions with approved STAR answers	Whether you have prepared answers for likely questions
Practice Performance	20%	Phase 2: available practice status; Phase 3: scored sessions	Demonstrated interview capability through mock sessions
Company/Round Preparation	10%	Brief completion, round plan readiness, questions to ask	How well you understand the company and interview structure
Preparation Completion	10%	Priority task completion rate, due date adherence	Whether you've completed the assigned preparation work

Missing Data Handling

When a component has no data (e.g., no practice sessions yet):

• Component is marked "Not Assessed"
• Weights are renormalized across available components
• A provisional status badge is displayed
• The user sees exactly which data would improve the score

Competency Graph

A separate visualization maps each role-required competency across four axes:

Axis	What It Shows	Data Source
Role Importance	How critical this competency is for the target role	RoleModel competency expectations
Evidence Strength	Quality and depth of verified evidence per competency	Career Vault evidence coverage
Answer Readiness	Whether prepared answers exist for this competency	Answer Studio approved answers
Practice Readiness	Demonstrated performance in practice sessions	Phase 2: status; Phase 3: scores

Screens in This Feature Area

1. Readiness Dashboard (/dashboard/readiness)

Per-job readiness overview with component breakdowns and trend charts.

Buttons & Actions:

Button	Behavior
Select Job	Switch readiness view to a different job target
Refresh Readiness	Recalculate readiness from current data
Expand Component	View detailed component breakdown and contributing factors
View History	See readiness snapshots over time (trend chart)
View Competency Graph	Open the competency-level heat map

2. Readiness Detail View

Drill into a specific component to see contributing factors and improvement actions.

Buttons & Actions:

Button	Behavior
View Contributing Factors	See each factor's value and weight
Take Action	Launch the recommended improvement (add evidence, create story, practise, etc.)
Compare Snapshots	Side-by-side comparison of two readiness snapshots

3. Competency Graph (/dashboard/readiness/competencies)

Role-competency heat map showing strengths and gaps across all role competencies.

Buttons & Actions:

Button	Behavior
Filter by Importance	Show only critical/high/medium importance competencies
Sort by Gap	Order competencies by biggest readiness gap
Drill into Competency	See detailed evidence, answers, and practice for one competency
Export	Download competency graph data

Readiness Snapshot Metadata

Each snapshot stores:

• scoringVersion — which formula version was used
• jobId / kitId — which context was assessed
• inputs — RoleModel version, evidence snapshot, answer readiness, practice status
• components — per-component scores, confidences, and factor breakdowns
• calculatedAt — timestamp
• provisional — true if any component was renormalized due to missing data

UX Rules

• Never show a readiness percentage without component breakdown and data freshness
• Use text labels and icons alongside any color coding
• "Not assessed" is honest and actionable — it tells users what data to add
• Provisional status must be visible whenever components are renormalized
• Trends require at least 2 snapshots; disclose sample size
• Every component shows which actions will improve it

Related ES Requirements

ID	Requirement
P2 Readiness	Six-component index: role alignment 25%, evidence 20%, answers 15%, practice 20%, company/round 10%, prep completion 10%
P2 Readiness	Store scoringVersion, inputs, components, confidence, calculatedAt
P2 Readiness	Show component contribution and actions that can change it
P2 Readiness	Mark not assessed when no practice exists; renormalize and disclose provisional
P2 Readiness	Maintain historical snapshots for trends
P2 Readiness	Competency graph: role importance, evidence, answer, practice readiness
AC-04	Readiness and competency graph are explainable, versioned and honest about missing data

Related Docs

• [[role-match]] — Role alignment component is driven by Role Match v2 requirement states
• [[role-intelligence]] — RoleModel defines competency expectations for the graph
• [[career-vault]] — Evidence strength component uses verification and quality data
• [[practice]] — Practice performance component integrates session scores (Phase 3: scored)
• [[interview-kits]] — Kit section completion feeds into company/round preparation component
• [[nba]] — Next Best Action uses readiness gaps for prioritization