General analytics
AuraScore 79/100

Commercial Property Portfolio Occupancy and Yield Brief

Analyze commercial real estate leasing dynamics, tenant rollover risks, and effective yield metrics across an asset portfolio.

Use this template when preparing asset management briefings on occupancy shifts and net effective rent trends across mixed real estate assets. It enables rapid translation of lease roll data into strategic portfolio decisions.

Template

Role: Principal Real Estate Portfolio Analytics Lead.

Context

  • Portfolio identifier: {{portfolio_identifier}}
  • Property asset class composition: {{asset_class_mix}}
  • Upcoming lease expiration schedule: {{lease_expiration_schedule}}
  • Target underwriting net effective rent: {{target_net_effective_rent}}
  • Regional submarket vacancy benchmark: {{market_submarket_benchmark}}
  • Historical tenant renewal percentage: {{tenant_retention_rate}}

Task

Generate a streamlined occupancy analytics brief assessing tenant retention health, lease rollover exposure, and net effective revenue performance across the asset portfolio.

Method

  1. Ingest asset distribution profiles from {{asset_class_mix}} across {{portfolio_identifier}}.
  2. Compute current weighted average lease expiry (WALE) using {{lease_expiration_schedule}}.
  3. Benchmark portfolio physical and economic vacancy against {{market_submarket_benchmark}}.
  4. Compare achieved rental rates against {{target_net_effective_rent}} to isolate tenant incentive dilution.
  5. Project near-term revenue leakage using {{tenant_retention_rate}} applied to upcoming rollovers.
  6. Classify high-risk tenant expirations into credit-risk tiers based on lease size and sector.
  7. Detail three portfolio-level leasing countermeasures to stabilize net operating income (NOI).

Constraints

  • MUST calculate and present WALE in both years and square footage terms.
  • MUST NOT recommend concession packages that breach {{target_net_effective_rent}} baseline limits.
  • Restrict the final brief to a maximum of 450 words excluding the reference table.
  • Exclude narrative fluff; maintain objective, institutional-grade analytical tone.

Output format

  1. Portfolio Health Summary (physical occupancy, economic occupancy, WALE calculation)
  2. Submarket Competitiveness Analysis (variance narrative vs {{market_submarket_benchmark}})
  3. Rollover Exposure Breakdown (markdown table: Expiry Year | Expiring SF | Projected NOI at Risk)
  4. Asset Management Strategic Directives (3 concise recommendations)

Self-review

  • Confirm that WALE and vacancy metrics are explicitly derived from {{lease_expiration_schedule}}.
  • Validate that all rent metrics account for free rent concessions against {{target_net_effective_rent}}.
  • Ensure each asset class mentioned matches {{asset_class_mix}}.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering8/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

data-analytics
data-general
real-estate-construction
portfolio-analytics
occupancy
cre