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20 metrics · 12 public
Cross-client cohort analysis is always anonymized. Only engagements whose clients have opted into the benchmarking program are included in cohorts. Results below the minimum sample size are labeled as indicative only.
Baseline
—
Target
1,900,000 USD
Achieved
2,100,000 USD
Compared actual PRJ4343 cost against estimated traditional (non-AI-assisted) delivery cost for equivalent scope: 100+ Storyblok component builds, 6 brand site migrations, SAP Commerce SDK. AI assistance (Junie AI) reduced labor hours by ~70% on component generation workstream. Range published: $1.9-2.5M.
Baseline
850 ms
Target
300 ms
Achieved
218 ms
Measured via Datadog APM on the loyalty API endpoint under 500 RPS load. p95 latency across 30-minute window.
Baseline
100 % vs. agency estimate
Target
20 % vs. agency estimate
Achieved
17 % vs. agency estimate
Comparison of final project cost vs. original agency estimate for equivalent functionality. Internal EIP financial reconciliation.
Baseline
100 % of baseline monthly cost
Target
35 % of baseline monthly cost
Achieved
31 % of baseline monthly cost
Azure billing comparison: trailing 3-month average pre-migration vs. trailing 3-month post-migration. Excludes one-time migration costs.
Baseline
98.1 %
Target
99.9 %
Achieved
99.97 %
Measured via Azure Monitor uptime SLA dashboard over trailing 90 days post-migration cutover.
Baseline
4,200 ms
Target
2,500 ms
Achieved
1,820 ms
Lighthouse CI on production URL with mobile 4G throttling. Median of 5 runs across 3 US regions.
Baseline
26 weeks (feature to production)
Target
16 weeks (feature to production)
Achieved
13 weeks (feature to production)
End-to-end cycle time from signed SOW to first production feature release, measured across Take5 API and DXP engagements vs. prior agency delivery (Zuri.com benchmark).
Baseline
1 x_multiplier
Target
4 x_multiplier
Achieved
5 x_multiplier
Compared AI-augmented Elevate delivery timeline against estimated traditional agency timeline for equivalent 47-endpoint API rebuild scope. Baseline = traditional agency estimate normalized to 1.0x. Achieved 4-6x faster, central estimate 5x published in case studies. Source: consulting-knowledge/clients/driven-brands/case-studies/meineke-api-rebuild.md.
Baseline
1 x_multiplier
Target
8 x_multiplier
Achieved
9 x_multiplier
AI-assisted Spanish localization pipeline reduced time from estimated 24-32 weeks (traditional manual translation + QA) to 3-4 weeks. 8-10x faster, central estimate 9x. Covers 900+ Take5 location pages plus global nav, 12 content types. Source: consulting-knowledge/clients/driven-brands/case-studies/take5-spanish-translation.md.
Baseline
100 percent_of_baseline
Target
50 percent_of_baseline
Achieved
50 percent_of_baseline
50% cost reduction on LifeStance.com replatform (WordPress → headless CMS + React). Comparison: actual Elevate AI-augmented delivery cost vs equivalent traditional agency delivery estimate for same scope. Source: consulting-knowledge/clients/lifestance-health/_profile.md and case-studies/lifestance-health.md.
Baseline
1 x_multiplier
Target
1.5 x_multiplier
Achieved
1.75 x_multiplier
1.5-2x faster delivery on LifeStance.com replatform. Central estimate 1.75x. Compared actual delivery timeline to traditional agency estimates for equivalent headless CMS migration scope (350+ pages, HIPAA-compliant infrastructure). Source: consulting-knowledge/clients/lifestance-health/_profile.md.
Baseline
0 USD
Target
1,500,000 USD
Achieved
2,100,000 USD
Retrospective quantification of avoidable costs from the Water.com replatform project — agency overrun, scope change overhead, and delayed revenue impact. Per EIP retrospective report.
Baseline
2 deployments/month
Target
12 deployments/month
Achieved
18 deployments/month
Counted production deployments via GitHub Actions deployment log over trailing 30-day window.
Baseline
34 %
Target
60 %
Achieved
—
Baseline measured via LifeStance's Google Analytics 4 property — sessions to booking-confirmed events. Target set based on healthcare industry benchmark.
Baseline
6,800 ms
Target
2,500 ms
Achieved
—
Measured via WebPageTest from Dallas region on LifeStance provider portal login page. Represents the LCP experienced by the majority of providers accessing from US Central.
Baseline
28 days (mean time to resolve)
Target
7 days (mean time to resolve)
Achieved
4 days (mean time to resolve)
Mean time from critical/high vulnerability detection (via Azure Defender) to verified remediation in production. Measured over trailing 60 days post-migration.
Baseline
0 USD incremental revenue (Year 1 post-launch)
Target
4,500,000 USD incremental revenue (Year 1 post-launch)
Achieved
—
Elevate ROI model based on Skechers member count (42M), engagement rate benchmark from comparable retail loyalty programs, and 2.4% incremental spend lift (Bain & Co loyalty benchmark).
Baseline
100 percent_of_baseline
Target
120 percent_of_baseline
Achieved
120 percent_of_baseline
Post-Contentful DXP implementation measurement of content publishing cycle time. 20% faster content deployment compared to pre-Contentful CMS baseline. Measured across Take5, Meineke, and Auto Glass Now brands. Source: consulting-knowledge/clients/driven-brands/_profile.md.
Baseline
100 percent_of_baseline
Target
70 percent_of_baseline
Achieved
70 percent_of_baseline
30% reduction in CMS-related support tickets following Contentful implementation. Measured 6 months post-launch across the Driven Brands digital team. Source: consulting-knowledge/clients/driven-brands/_profile.md.
Baseline
—
Target
—
Achieved
45,101.8 hours
Total Tempo-logged hours across all 8 active STERIS Jira projects as of May 15, 2026: PRJ3731 (4,137.8h), PRJ4294 (9,347.2h), PRJ3987 (737.4h), PRJ3903 (11,285.9h), SSC (7,454.9h), SHC (3,839.4h), HIDC (3,343.8h), SOT (4,955.3h). Largest single client relationship by hours in Elevate history. Source: consulting-knowledge/clients/steris/_profile.md.