Purpose
Turn a roster of executives and their assigned admin business partners (ABPs) into a quantified coverage map — scoring each support relationship by workload demand, flagging assistants carrying more than they can sustain, identifying executives without adequate support, and exposing coverage gaps where a single absence would leave someone stranded. Produces a rebalancing plan an operations manager can act on this quarter.
When to Use
Invoke this skill when the user asks to:
- Assess whether executive-to-ABP support ratios are right-sized across the team
- Diagnose which admin business partners are over-leveraged or at burnout risk
- Identify executives who are under-supported or sharing an assistant who's stretched thin
- Plan ABP or EA headcount ahead of a hire, reorg, or busy season
- Build a PTO/absence backup plan so no executive loses coverage when their ABP is out
- Justify a support-staff hiring request with a workload-based rationale
Inputs Required
Before starting, collect:
- Executive roster: List of executives supported, with title/level (C-suite, SVP, VP, Director) for each
- ABP assignments: Which admin business partner is assigned to which executive(s), including any shared or pooled coverage
- ABP roster: Names/count of admin business partners, plus each one's FTE status and tenure (new <6mo / established) if known
- Workload signals per executive: Any available indicators — travel frequency, meeting volume, direct reports, external-facing intensity, board/investor involvement, expense/project coordination load
- Known pain points: Any executives or ABPs the user already flags as strained, or recent complaints/escalations
- Coverage expectations: Team norms — is 1:1 the standard, is pooling acceptable, what's the target ratio if one exists
- Time horizon: Current state only, or planning for an upcoming change (hire, departure, busy season, reorg)
If workload signals are sparse, default to scoring by executive level (C-suite = highest demand) and note that the scores are level-based estimates pending real activity data.
Instructions
Step 1: Build the Executive Demand Score
Assign each executive a Support Demand Score (1–10) using a weighted model. Score each factor, then combine:
- Seniority weight (0–3): C-suite = 3, SVP/EVP = 2.5, VP = 2, Director = 1
- Travel/logistics load (0–2): Frequent travel or complex scheduling = 2; occasional = 1; none = 0
- Meeting/calendar intensity (0–2): Heavily booked, multi-stakeholder calendar = 2; moderate = 1; light = 0
- External/board exposure (0–2): Board, investor, or high-profile external work = 2; some external = 1; internal-only = 0
- Coordination breadth (0–1): Large org, many direct reports, cross-functional projects = 1; contained = 0
Sum to a 0–10 Demand Score. Label each: High (7–10) / Moderate (4–6) / Low (0–3).
Step 2: Calculate ABP Load
For each admin business partner, sum the Demand Scores of every executive they support. This is their Total Load.
- Apply a capacity benchmark of ~10 Demand points per full-time ABP as the sustainable ceiling (adjust for FTE — a 0.5 FTE ceiling is ~5).
- Apply a new-ABP discount: partners with <6 months tenure operate at ~70% capacity — treat their ceiling as 7 points.
- Compute Utilization = Total Load ÷ Adjusted Ceiling.
Step 3: Flag Over-Leverage and Under-Support
Classify every ABP by utilization:
- Over-leveraged (>110%): At burnout risk — flag red, explain which executive(s) push them over
- Well-loaded (80–110%): Healthy — flag green
- Under-utilized (<80%): Has bandwidth — flag as a candidate to absorb reallocation
Then classify the executive side:
- Under-supported: A High-demand executive sharing an over-leveraged ABP, or any High-demand exec on pooled/partial coverage
- Well-matched: Demand and support are proportionate
- Over-served: A Low-demand executive with dedicated full-time coverage (a reallocation opportunity)
Step 4: Run the Coverage Gap Analysis
Identify structural fragility, independent of workload:
- Single points of failure: Any High-demand executive whose ABP has no designated backup — a single absence strands them
- No-redundancy pairs: Any ABP whose knowledge/relationships aren't shared with anyone else
- Concentration risk: Cases where one ABP covers multiple High-demand executives — a single departure creates multi-executive exposure
- Pooling gaps: Where shared coverage means no one owns an executive's critical continuity
Step 5: Build the Rebalancing Plan
Produce a ranked set of moves (3–7 recommendations), each stating:
- The specific problem it solves (which ABP or executive, which flag)
- The move (reassign executive X from ABP A to ABP B, add a backup, split a pooled arrangement, or trigger a hire)
- The projected utilization for affected ABPs after the move
- Effort/disruption level (Low / Medium / High)
If total team Demand exceeds total adjusted capacity, state the headcount gap explicitly (e.g., "team is 6 Demand points over capacity — ~0.6 FTE short") and recommend a hire with the workload rationale.
Step 6: Build the PTO Backup Matrix
For every executive, name a primary ABP and a designated backup. Where no viable backup exists given current staffing, flag it as an unresolved gap and note what the rebalancing plan or a hire would fix.
Output Format
- Structure: Executive demand table → ABP load & utilization table → flagged issues (over-leverage, under-support, coverage gaps) → ranked rebalancing plan → PTO backup matrix
- Length: 800–1,200 words plus tables
- Format: Tables for the demand scores, ABP utilization, and backup matrix; ranked list for recommendations; brief prose for flags and rationale
- Sections: Executive Demand Scores → ABP Load & Utilization → Flags (Over-Leveraged / Under-Supported / Coverage Gaps) → Rebalancing Plan → PTO Backup Matrix → Headcount Assessment (if applicable)
- Tone: Operations manager to operations manager — quantified, decisive, and staff-aware; names workload strain plainly without alarmism
Quality Checklist
Before delivering output, verify:
- [ ] Every executive on the roster has a Demand Score with its component breakdown shown
- [ ] Every ABP has a Total Load, an adjusted ceiling, and a utilization percentage
- [ ] Every over-leveraged ABP flag names the specific executive(s) driving the overload
- [ ] The coverage gap analysis identifies at least the single-points-of-failure among High-demand executives
- [ ] Each rebalancing recommendation shows the post-move utilization for affected ABPs
- [ ] The PTO backup matrix covers every executive with a primary and a backup (or an explicit gap flag)
- [ ] If capacity is exceeded, the headcount gap is stated as a specific FTE figure, not a vague "consider hiring"
Notes
- The capacity benchmark (~10 Demand points per FTE) is a starting calibration — if the user's team runs leaner or richer historically, adjust the ceiling and say so.
- Utilization above 110% for more than a quarter is the strongest predictor of ABP attrition; treat sustained red flags as retention risk, not just a scheduling nuisance.
- The most common hidden problem is concentration risk, not raw overload — a well-loaded ABP who is the only person who knows two High-demand executives is a bigger organizational risk than a slightly over-leveraged one with a backup.
- When workload data is thin, deliver the level-based estimate and recommend a two-week calendar/activity pull to confirm the scores before acting on any reassignment.
How to use this skill
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Installing in Claude Code:
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- Drag this file into a new chat, or copy and paste its contents
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