How a progressive Class A office owner worked with REKalibrate to measure, attribute, and underwrite the return on workplace experience across three Class A assets in 2025.

How a progressive Class A office owner worked with REKalibrate to measure, attribute, and underwrite the return on workplace experience across three Class A assets in 2025.
Source: CBRE 2025 Occupier Sentiment Survey; CBRE 2025 Office Overview & Outlook.
The industry has operated on intuition, not data. Owners renovate amenity floors, hire hospitality staff, and deploy technology, then wait to see if rents hold and tenants renew.
By the time the lease event arrives, the decision was made months or years earlier.
The owner built a proprietary, work-forward, hospitality-inspired operating program delivered through four levers, then deployed it across its portfolio.
Purpose-built lounges, conferencing, fitness, and F&B venues made for daily use.
Trained hospitality professionals layered on top of the Class A management team.
Bespoke in-suite and amenity services; events anchored in community and productivity.
Integrated booking, access, F&B, and engagement apps that lower friction and generate data.
The owner brought in REKalibrate to answer the question owners have never been able to: how does investment in amenities actually correlate to building performance?
Integrates access control, WiFi, workplace apps, point-of-sale, fitness, conferencing, and more into one connected feed.
Standardized into a single layer, comparable across buildings, tenants, and time.
Tenant-level engagement scoring, utilization patterns, leasing economics, and early risk indicators.
REKalibrate isolates the marginal contribution of the operating platform across five value drivers, each tied directly to standard real estate economics.
Investing in amenities alone isn't enough. The owner augmented its amenities with best-in-class programming, hospitality operations, and technology, and the combination translates into measurable outperformance against its peers.
Peer benchmark: REKalibrate institutional dataset of Class A office assets with active amenity programs, 12 months ended March 31, 2026.
Engagement Rate is the first signal to move, quarters before a lease decision is made. And its level correlates tightly with the outcome: tenants who renewed or signed engaged far more than those who vacated.
2.4×the engagement of tenants who stayed or signed
Together, the owner and REKalibrate analyzed three Class A assets in 2025 across different submarkets, business plans, tenant compositions, and capital structures.

Each driver is calculated against a counterfactual baseline of submarket rents, market-standard vacancy, and standard underwriting conventions.
Engaged by the owner, REKalibrate scored every tenant at each asset on two dimensions, giving the owner's third-party hospitality operators a cohort map to work from.
Participation in programming, amenities, services, and technology, measured continuously.
Presence in the leased premises, measured continuously.
Operators held guided sessions with key tenant contacts to surface engagement gaps and company-specific priorities.
Tailored marketing, in-suite experiences, and curated programming were deployed; REKalibrate tracked response across reservations, fitness, and events.
Results were shared with tenant groups and high-impact tactics prepared for broader rollout.
For the first time, owners have a rigorous, data-backed framework for attributing financial outcomes (higher rents, lower vacancy, fewer concessions) directly to their investment in workplace experience. The owner and REKalibrate have demonstrated that operating capability, together with asset quality, determines outcomes in today's market.
Want to learn more about how we help teams measure Engagement and better understand retention? Reach out and let's chat.
Without measurement, improvement is guesswork. REKalibrate makes measurement possible—and improvement inevitable.

Track customer engagement across amenities
Analyze workspace usage and trends
Assess renewal risk with real data
