Real deployments. Real numbers.
Eleven full case studies, eight named clients, and a working library of 110 deployments behind the headline numbers. Every metric is independently calculated against client baselines. No “up to” ranges, no curated outliers, no “a major UK retailer” coyness where the client has agreed to be named.
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No marketing math, no “up to” ranges.
Every headline figure on this page is calculated against a client-specific baseline, agreed in advance, measured at a defined post-hire interval, and reviewed by the client before publication. We don’t aggregate ranges (“up to 70%”) or pick best-of-cohort outliers.
If we’ve quoted a number, the client has signed off on the methodology.
Procurement teams: the underlying methodology, baseline definition, measurement window and external assurance letter are available under NDA. Most can be sent within two working days.
Clients who’ve agreed to be named feature here in full. Where a client has chosen anonymity (financial services and parts of the public sector are common), we describe sector and scale precisely but withhold the name. The numbers are still real.
Need it for an RFP?
If you’re building a vendor shortlist, a procurement file or a social-value response, the proof pack below has what you need. Pre-built, no NDA on the headline numbers, full methodology under NDA.
- Sector outcomes summary
Headline numbers per sector, calculated on consistent methodology since 2018. - Predictive validity report
r = 0.42 against first-year performance, methodology peer-reviewed. - Adverse impact methodology
4-fifths rule applied at cohort level, with monitoring framework. - Social value response
Pre-built across all five PPN 06/20 MAC themes for public-sector buyers. - Named-client references
Six current clients available for direct reference calls under our standard reference protocol. - Audit-ready raw data
Cohort-level data, disaggregated by characteristic, available under NDA.
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Want to see one of these on your pipeline?
Most clients start with a 45-minute working session: anonymised data from your last cohort, plugged into the most relevant of the patterns above. You walk away with a read on what would change for your roles, and zero obligation to do anything about it.