Past Performance That Pops: Turn Daily Ops into Win-Ready Evidence

Evaluators don’t buy adjectives; they buy evidence. The fastest way to raise scores is to convert your routine operations into compact case studies, before/after KPIs, and clean exhibits that match the RFP’s scope.

Make Evidence in 3 Steps

  1. Pick the right stories
    Choose 2–3 properties that mirror the new scope (program type, unit count, challenges).

  2. Build the beats
    Problem → Approach → Results (numbers)
    Each result should reference a KPI the agency cares about: WO aging, turn time, delinquency, REAC/HQS, occupancy, resident satisfaction.

  3. Attach the proof
    Every claim gets an exhibit: report export, photo log, inspection letter, meet-and-confer note, or testimonial with consent.

What “Pops” for Evaluators

  • Before/After KPIs in one small table (with dates).

  • One-liner takeaways (“WO aging >7d dropped from 24% → 8% in 60 days”).

  • Numbered exhibits (E-01…E-09) referenced right in the margin.

  • Short quotes (≤50 words) with consent and context.

Avoid These Common Misses

  • Vague wins (“improved satisfaction”) with no baseline/period.

  • Mega PDFs with no index.

  • Results unrelated to the current RFP’s scope.


Free Download

Evidence Library Starter Kit (XLSX)

What’s inside:

  • Case Study Template: Problem → Approach → Results with three KPI slots

  • KPI Catalog: Definitions, measurement, cadence, and targets

  • Evidence Log: Exhibit numbers, titles, “what it proves,” redaction flags

  • Photo Log (Before/After): File tracking with descriptions

  • Testimonial Library: Quotes with consent tracking

  • Data Request Checklist: Exactly what to pull from your systems

  • Before/After KPIs: Chart-ready table for deltas and dates

Drop these into your Document Vault so your next proposal has two ready case studies with numbered exhibits on day one.


CTA: Case-Study Buildout (Fast)

Reply “Proof” and I’ll help you pick the best 2–3 properties, extract the data, and package the evidence so it scores.