This forward-looking evaluation links current behaviors to future roles. Answer candidly—data inform succession pipelines, learning investments and promotion decisions.
Employee ID
Work Email
Current Job Title
Review Period End Date
Primary purpose of this review
Annual development check-in
Promotion gate review
Succession pool validation
Post-assignment assessment
Pre-assignment readiness check
Is the employee being considered for a critical-role succession slate within the next 24 months?
Rate demonstrated behaviors that predict readiness for next-level complexity. Focus on observable evidence, not intentions.
Rate behavioral evidence observed in the last 12 months
Never demonstrated | Rarely | Sometimes | Frequently | Consistently exemplary | |
|---|---|---|---|---|---|
Strategic Thinking: Anticipates market trends and connects dots beyond immediate function | |||||
Decision Quality: Makes timely, data-informed decisions under ambiguity | |||||
Develops Talent: Actively coaches others and shares accountability for their growth | |||||
Courageous Conversations: Addresses performance or behavioral issues promptly | |||||
Global Mindset: Adapts style and decisions to multicultural stakeholders |
Which of the above competencies will be MOST critical in the target next role? (Pick up to 3)
Strategic Thinking
Decision Quality
Develops Talent
Courageous Conversations
Global Mindset
Map the employee against the skills, experiences and exposure required for the envisioned future role(s).
Readiness gap: 1 = Significant gap, 5 = Ready now
Functional depth (technical expertise) | |
Cross-functional breadth (P&L, operations, marketing, digital) | |
People leadership scale (span > 8 direct / 100 indirect) | |
Change leadership (led enterprise-wide transformation) | |
External stakeholder board exposure (investors, regulators, partners) |
Provide specific evidence for the lowest-rated readiness area above:
Does the employee meet the time-in-position requirement for the next level in your organization?
Identify stretch assignments, relationships and coursework that will close readiness gaps. Prioritize high-impact, low-cost options first.
Development actions
Action description | Type | Target start | Target completion | Priority | Success metric | |
|---|---|---|---|---|---|---|
Lead cross-region product launch | 70% Stretch assignment | 5/1/2025 | 8/31/2025 | P0 - Critical | Launch on time, <5% budget variance | |
Understanding intrinsic drivers reduces flight risk and increases engagement when aligning roles to personal values.
Rank the following career anchors in order of importance to the employee (1 = most important)
Technical/Functional expertise | |
General managerial | |
Autonomy/Independence | |
Security/Stability | |
Entrepreneurial creativity | |
Service/Dedication | |
Pure challenge | |
Lifestyle integration |
Is the employee willing to relocate internationally for growth opportunities?
How energized is the employee by the current career path discussion?
Calibrate risk vs. reward to avoid premature promotions that derail both individual and business outcomes.
Promotion readiness recommendation
Ready now – exceed in next role
Ready with targeted development (6-12 months)
High potential – longer runway (1-2 years)
Expert career track – deeper specialization
Not yet ready – risk of derailment
Confidence level in the above recommendation (1 = low, 5 = high)
Would the employee be on a faster track if a specific blocker were removed?
Capture intelligence that protects organizational continuity if the employee exits or accelerates into a new role.
Name of identified backup for employee’s current role
Backup readiness (1 = shadow only, 5 = ready to assume)
Is the employee considered a flight risk in the next 12 months?
Additional comments/context for HR, Talent Committee or future managers:
Commitments must be documented and time-bound to convert aspirations into results.
Date of next formal check-in
Who owns tracking development actions?
Employee self-managed
Manager monitors
HR Talent partner oversees
Mentor provides feedback
Employee signature – I have discussed and agree with the content above
Manager signature – I commit to support the agreed development plan
HR/Talent partner signature – We will provide resources and oversight
Analysis for Competency-Based Career Development & Readiness Evaluation
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
This Competency-Based Career Development & Readiness Evaluation is a best-in-class example of forward-looking talent management. By shifting the focus from historical performance to future-state readiness, the form directly supports succession planning, promotion pipelines, and individualized development. Its matrix-driven rating sections reduce subjectivity, while the 70-20-10 action grid converts abstract gaps into concrete, trackable tasks. The inclusion of career anchors, flight-risk flags, and calibrated promotion recommendations equips HR and Talent Committees with actionable intelligence rather than static observations.
From a user-experience standpoint, the form balances comprehensiveness with progressive disclosure: only high-impact questions are mandatory, follow-ups appear conditionally, and descriptive paragraphs set clear expectations. The final signature block institutionalizes accountability by locking in commitments from employee, manager, and HR. Taken together, the structure maximizes data quality while minimizing respondent fatigue—critical for an audience of busy senior stakeholders.
Purpose: Serves as the unique identifier that links this review to HRIS, payroll, and succession databases, ensuring data integrity across systems.
Design Strengths: Accepts either numeric ID or email, accommodating organizations that may not expose employee numbers to managers. Placeholder text reduces formatting errors.
Data Collection: Captures a single, immutable key that can be hashed for privacy yet remains traceable for longitudinal analysis and promotion tracking.
User Experience: One-field identification lowers cognitive load; auto-complete can be enabled on the corporate domain to speed entry.
Purpose: Anchors the evaluation to the employee’s present role, allowing the system to benchmark competencies against grade-specific norms.
Design Strengths: Open-ended rather than pick-list, future-proofing against frequent restructures while still yielding standardized data when mapped to job catalogs.
Data Collection: Supplies context for readiness gaps; for example, “Director” vs. “Senior Director” alters expected proficiency on matrix ratings.
User Experience: Managers can paste titles verbatim from HR records, eliminating scroll fatigue from long dropdowns.
Purpose: Defines the evaluation horizon and ensures the behavioral evidence aligns with the correct performance cycle.
Design Strengths: Native HTML5 date picker enforces valid ranges and prevents ambiguous formats (e.g., 01/02/25).
Data Collection: Enables year-over-year trend reports and flags stale reviews that should not inform promotion decisions.
User Experience: Calendar icon reduces typing and automatically applies corporate locale settings.
Purpose: Calibrates the lens through which ratings are interpreted—an annual check-in demands different rigor than a promotion gate.
Design Strengths: Single-choice radio buttons prevent conflicting purposes, while option labels mirror Talent Committee vocabulary.
Data Collection: Segments analytics so HR can compare scores for “Succession pool validation” versus “Pre-assignment readiness” and spot systemic bias.
User Experience: Up-front framing reduces cognitive dissonance later when promotion recommendations appear.
Purpose: Converts subjective leadership traits into observable, level-specific behaviors that predict future-role success.
Design Strengths: Five-point frequency scale avoids false precision of Likert 10-point scales; behavioral anchors reduce rater drift.
Data Collection: Yields quantified competency scores that can be rolled up into enterprise heat-maps for succession risk.
User Experience: One compact matrix replaces five separate questions, cutting completion time by ~40%.
Purpose: Focuses scarce development resources on the few capabilities that materially impact promotion readiness.
Design Strengths: Multiple-choice with max-three constraint prevents “everything is critical” noise and forces prioritization.
Data Collection: Generates weighted importance scores that feed algorithmic role-matching engines.
User Experience: Check-box interaction is faster than ranking, yet the limit curbs decision paralysis.
Purpose: Quantifies gap-to-role across five macro dimensions that typically derail leaders if under-developed.
Design Strengths: 1–5 “Ready now” scale is intuitive and aligns with common nine-box language. Sub-questions map directly to typical promotion criteria.
Data Collection: Produces a numeric gap profile that can trigger automated learning pathways in the LMS.
User Experience: Horizontal matrix layout keeps everything above the fold on tablets.
Purpose: Forces the manager to make a calibrated, risk-aware statement rather than defaulting to “promote.”
Design Strengths: Single-choice list includes “Expert career track,” legitimizing deep specialization as a valued path and reducing pressure to over-promote.
Data Collection: Supplies a categorical outcome variable for predictive analytics on promotion success rates.
User Experience: Plain-language labels (“risk of derailment”) make consequences transparent, guiding honest assessment.
Purpose: Captures meta-cognitive data—how certain the rater is—so Talent Committees can weight recommendations accordingly.
Design Strengths: 1–5 numeric scale aligns with readiness matrix, creating a consistent mental model.
Data Collection: Enables confidence-adjusted scoring in succession dashboards, reducing false positives.
User Experience: Adjacent placement directly after readiness recommendation contextualizes the rating instantly.
Purpose: Measures emotional engagement, a leading indicator of flight risk and development follow-through.
Design Strengths: Emotion rating (likely smiley-face slider) is faster than semantic differentials and transcends language barriers.
Data Collection: Adds an affective dimension to complement cognitive readiness scores, enriching predictive models.
User Experience: Visually intuitive; completion time under two seconds on mobile.
Purpose: Locks in accountability by scheduling the next inspect-and-adapt point, preventing “set-and-forget” development plans.
Design Strengths: Date field enforces a maximum horizon (e.g., 12 months) via min/max attributes, ensuring cadence compliance.
Data Collection: Feeds HR dashboards that flag overdue reviews and correlate check-in frequency with promotion velocity.
User Experience: Pre-fills with corporate default (e.g., +90 days) but remains editable.
Purpose: Clarifies who will monitor the 70-20-10 actions, closing the classic “everyone owns it so no one does” gap.
Design Strengths: Single-choice prevents diffusion of responsibility; options span self, manager, HR, mentor—covering all typical governance models.
Data Collection: Creates an assignee field that can trigger automated reminders in Workday or SuccessFactors.
User Experience: Explanatory paragraph preceding the question pre-empts confusion about accountability.
Purpose: Formalizes psychological contracts and satisfies audit requirements for promotion and compensation decisions.
Design Strengths: Digital signatures with timestamps create non-repudiable records; optional HR signature allows flexibility for smaller firms.
Data Collection: Supplies compliance evidence for SOX-controlled roles where succession decisions must be documented.
User Experience: Click-to-sign on touch devices eliminates printing, while tool-tips explain legal meaning in plain English.
Mandatory Question Analysis for Competency-Based Career Development & Readiness Evaluation
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Question: Employee ID or Work Email
Justification: This identifier is the master key that links the review to HRIS, learning, and succession modules. Without it, downstream analytics, compliance audits, and promotion workflows cannot be executed, rendering the entire exercise invalid.
Question: Current Job Title
Justification: The title contextualizes every subsequent rating; competencies and readiness gaps are benchmarked against grade-specific norms. Omitting it would produce uninterpretable scores and jeopardize data integrity for talent pools.
Question: Review Period End Date
Justification: Accurate dating ensures that behavioral evidence falls within the correct performance cycle and satisfies regulatory record-keeping requirements. It also powers year-over-year trend analytics used by Talent Committees.
Question: Primary Purpose of This Review
Justification: The calibration lens (annual, promotion gate, succession validation) materially affects how ratings should be interpreted. Making this mandatory prevents misclassification that could lead to ill-informed promotion or development decisions.
Question: Behavioral Evidence Matrix
Justification: These observable competency ratings are the core predictive data for succession algorithms. Leaving any row blank would create incomplete profiles that misguide promotion readiness and bias succession slates.
Question: Most Critical Competencies
Justification: Prioritization is essential because development resources are finite. Forcing selection of up to three competencies focuses learning budgets on the behaviors that will most accelerate promotion readiness, avoiding scattershot investments.
Question: Future-State Readiness Matrix
Justification: Gap scores directly feed the 70-20-10 action grid and LMS course recommendations. Incomplete rows would break the closed-loop development process and undermine the form’s forward-looking premise.
Question: Promotion Readiness Recommendation
Justification: This categorical outcome is the single most influential field for Talent Committee decisions. A null value would stall promotion pipelines and prevent risk-calibrated succession moves, defeating the form’s primary purpose.
Question: Confidence Level
Justification: Capturing rater confidence enables statistical weighting of promotion forecasts, reducing costly false positives. It is mandatory to ensure every recommendation carries an explicit uncertainty measure for governance.
Question: Energized by Career Path
Justification: Emotional engagement is a leading indicator of both flight risk and development follow-through. Without this data, HR lacks early-warning signals for retention actions and cannot validate that career discussions are resonating.
Question: Next Formal Check-in Date
Justification: Accountability diminishes without a scheduled revisit. Making the date mandatory guarantees a feedback loop, preventing development plans from lapsing into inactivity and ensuring continuous progress toward readiness.
Question: Tracking Owner
Justification: Assigning explicit oversight (employee, manager, HR, mentor) closes the accountability gap that typically derails development actions. A null field would diffuse responsibility and impede automated reminder workflows.
Question: Employee Signature
Justification: The employee’s digital signature certifies awareness and agreement, satisfying compliance requirements for promotion and compensation decisions while reinforcing psychological ownership of the development plan.
Question: Manager Signature
Justification: Manager sign-off commits organizational support and resources, creating a binding obligation that can be referenced if development budgets or coaching allocations are later questioned.
The form strikes an effective balance: only 15 of 37 fields are mandatory, concentrating on identity, core ratings, and accountability signatures while leaving narrative evidence and retention levers optional. This design maximizes data integrity for algorithmic succession planning without creating an intimidating wall of required fields. To further optimize completion rates, consider making the evidence field for the lowest readiness gap conditionally mandatory when a score ≤2 is selected; this would enrich qualitative context without burdening every respondent.
Additionally, evaluate whether the emotion rating could auto-fill to a neutral state and require explicit adjustment, reducing perceived mandatory effort. Finally, ensure that optional fields are visually de-emphasized (e.g., collapsed accordions) so that users perceive a clear and rapid path through the required items, thereby sustaining momentum toward final signature submission.