Veritas360

Flow Review

Signed in as

MC

Maya Chen

Senior Product Operations Partner · Operations

manager

Executive Dashboard

A cleaner view of appraisal quality, alignment, and readiness.

Help leaders evaluate performance fairly, coach consistently, and align talent decisions to business outcomes.

Vision

Build a transparent, high-performance culture where evidence and accountability guide every people decision.

Year Goal

Make the 2026 appraisal cycle faster, clearer, and more defensible across all departments.

2026 Quarter 1 Appraisal CycleActiveOrg score 4.5310 promotion-ready

Selected Employee

Senior Product Operations Partner · Operations

High evidence strengthImproving

Visible rating

Excellent

Delivers exceptional, evidence-backed impact

Internal score

5

Hidden 5-level calibration score

Submitted

Mar 10, 2026

Veritas Score (AI-Augmented Performance)

70

35% judgment · 30% AI leverage · 35% impact

AI Leverage Index (ALI)

62.0

Impact adjusted by effort proxy

Promotion readiness

Medium

Separate from the visible rating

Narrative summary

Maya Chen is currently rated Excellent. Evidence strength is high, strongest in Goal & KPI Delivery. Growth trajectory is improving and promotion readiness is ready now.

Strongest signal

Goal & KPI Delivery · 5 / 5

Concrete KPI or delivery evidence is present, including measurable outcomes.

Veritas Score (AI-Augmented Performance)

70 with an AI Leverage Index of 62.0. The visible rating remains Excellent · Delivers exceptional, evidence-backed impact.

Distribution status

Exceeded. Current / target count for this rating: 10 / 2.

Scoring weights

Cycle-default weights prioritize agreed goals, values-aligned behavior, stakeholder value, learning agility, and leadership initiative. Final manager judgment remains accountable and evidence-led.

Final decision

Excellent · Delivers exceptional, evidence-backed impact

Final manager approval is pending. Current calculated rating is Excellent and will remain provisional until the last step is completed.

A standout performer whose contribution is exceptional, well evidenced, and valuable beyond normal role expectations.

Next step: sustain benchmark performance while proving repeatable broader-scope leadership.

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Org Score

4.53

Weighted current-cycle score

+0.10 vs prior quarter

Average Goal Score

4.61

Goal and KPI delivery quality

+0.08 improving

Promotion Ready

10

Ready for broader remit

Guided, not forced

Risk Cases

4

Low evidence strength or scoring risk

Down 2 this cycle

Performance vs Expectations

Employee, reviewers, and final alignment

Final dimensionsCurrent employee
Employee
Peer One
Peer Two
Manager
HR
ImpactAI UseLearningInnovation andBusiness GrowthReliability

Employee view

Mapped to Impact, AI Use, Learning, Innovation and Business Growth, and Reliability.

Manager expectation

Manager evaluation carries the largest decision weight, while HR remains governance-only.

Peer influence

Peer influence appears here after Peer 1 and Peer 2 complete their reviews.

Quick Read

Summary, strengths, and actions

Executive summary

Maya Chen currently holds a Veritas Score (AI-Augmented Performance) of 70. Human Judgment is 82, AI Leverage is 64, and Outcome Impact is 62. Promotion readiness is Medium.

Strengths

High evidence
  • Human Judgment is strong, with credible signals in decision quality, leadership, and problem solving.
  • Strong evidence of delivery and KPI progress is present in the record.
  • Behavior and values are evidenced through repeatable ownership, judgment, and dependability.

Development areas

  • Outcome Impact needs clearer KPI movement, delivery proof, or innovation tied to business results.
  • AI Leverage needs stronger proof of AI tool use, prompting quality, and validation of outputs.
  • Sustain the current evidence quality by documenting repeatable impact across the next cycle.

Development recommendation

Extracted from employee, peer, manager, and HR assessments

  • Development recommendation: continue showing concrete ownership and values-aligned examples so behavioral strengths stay visible in calibration.
  • Development recommendation: keep reinforcing leadership readiness with repeatable initiative and broader-scope influence examples.
  • Development recommendation: continue using concise, evidence-backed examples across all assessment stages so strengths and growth areas remain easy to validate.

Final decision

Excellent

Final manager approval is pending. Current calculated rating is Excellent and will remain provisional until the last step is completed.

A standout performer whose contribution is exceptional, well evidenced, and valuable beyond normal role expectations.

Veritas Score (AI-Augmented Performance): 70 · Promotion readiness: Medium

Next step: sustain benchmark performance while proving repeatable broader-scope leadership.

Peer 1 Reviewer

Manager nominated peer

Pending Peer 1 review submission.

Status: Pending review

Peer 2 Reviewer

Employee nominated peer

Pending Peer 2 review submission.

Status: Pending review

Department Comparison

Performance by department

Current cycleWeighted score

Operations

4.5 overall

KPI
4.5
Behavior
4.0
Overall
4.5

Finance

4.3 overall

KPI
4.3
Behavior
4.4
Overall
4.3

Commercial

4.8 overall

KPI
5.0
Behavior
4.1
Overall
4.8

Trend

Quarter-over-quarter movement

Last 5 quartersOverall + KPI + Behavior

Organization score trend

1.02.03.04.05.0Q2 2025Q3 2025Q4 2025Q1 2026Q2 2026
Overall KPI Behavior

Dimension Readout

AI scoring rationale by dimension

Goal & KPI Delivery

5 / 5

Concrete KPI or delivery evidence is present, including measurable outcomes.

Good evidence

Within six weeks, handoff errors dropped by 31% and stakeholder satisfaction improved from 3

Behaviors & Values

4 / 5

The response describes observable working behaviors clearly enough to assess effectiveness.

Good evidence

I clarified owners early, documented decisions within 24 hours, and ran shorter decision reviews to reduce rework

Collaboration & Stakeholder Value

5 / 5

Stakeholder value is supported by collaboration evidence and observable outcomes.

Good evidence

Within six weeks, handoff errors dropped by 31% and stakeholder satisfaction improved from 3

Learning Agility & Development

5 / 5

The response shows visible learning, adaptation, and development translated into better outcomes.

Good evidence

After the Q1 roadmap reset, I adapted the intake model based on partner feedback

Leadership & Initiative

5 / 5 -> 4.33 / 5

Leadership and initiative are supported by ownership, influence, and broader-scope contribution.

Good evidence

Achievements: Reduced intake cycle time by 23%; Improved on-time milestones to 96%; Led eight launch programs