Multiverse learner outcomes: measuring what matters

The world of work is undergoing the most profound transformation in living memory. AI has supercharged the relentless advance of tech, software and systems, and has fundamentally changed what employers need from their teams. It has also supercharged how quickly both employers and employees need to evolve.

From Claude to CoPilot, the tools reshaping organisations are proliferating faster than traditional education and skills programmes can keep up with. Knowledge transfer is no longer the primary goal to aim for, because learning without impact no longer cuts it.

What today's employers need is people who can apply new data and AI skills to real challenges and drive measurable results. The way apprenticeship ROI is measured must take this into account.

That's why Multiverse's results-based training model focuses on more than whether learners finish the programme. That still matters, but we also emphasise the value they have created thanks to their training, for themselves and for their employers. And we celebrate their success against this more complete, deeper definition of achievement.

The modern era of upskilling demands modern measures of success

UK productivity has been stagnant for a decade. And yet, not only does the technology to reverse this trend already exist in the shape of AI-driven automation, data analytics and intelligent workflows, it is also now within reach of organisations of every size and in every sector.

But for these technologies to deliver the productivity gains the economy so badly needs, we need to build a critical mass of people with the right skills.

Training providers must teach more than theory and deliver more than simply qualifications. They must equip learners to apply new capabilities directly to their work — and quickly; from day one, not after 18 months of learning — and they must measure whether those capabilities are making an impact.

This is the standard of quality Multiverse holds itself to, and we're building the human and technological infrastructure to deliver this at scale.

Measuring what matters most

AI and modern data systems make it possible to connect learning directly to concrete business results. Multiverse's measurement approach embraces this new level of transparency, allowing the organisations we partner with to assess the ROI of apprenticeships against an accurate before-and-after picture of meaningful business outcomes.

The success of this approach is reflected in the results Multiverse tracks across its customer base:

• $2bn+ in confirmed ROI delivered to customers to date
• Approximately one working month per year saved per learner through productivity gains
• 45% of learners receive a promotion during or within 12 months of their programme
• 120% net revenue retention — customers consistently invest more with Multiverse after their first programme
• 98.4% pass rate among programme completers
• 97% learner satisfaction with coaching

What that impact looks like in practice

Behind each of these data points are individuals from our all-time cohort of 30,000+ learners who have used their new skills to solve real and urgent problems for their companies.

Across our customer base of more than 1,500 customers — including over a quarter of the FTSE 100, half of Russell Group universities, more than 100 NHS trusts and 50+ local councils — the pattern is consistent: learners acquire new skills, apply them to current workplace challenges and deliver results their employer can tangibly measure. Examples include:

Retail

A product manager at a national food and clothing retailer built an automated pipeline to report on available merchandise space, and turned a two-hour manual process into a 60-second cycle. The time saved allows for decisions to be made daily, based on actionable insights, instead of occasionally and based on guesswork.

Banking

A project manager built a GenAI workflow to automatically generate and distribute new bank account numbers, compressing processing time from 25 hours per 1,000 accounts to under 15 minutes, while virtually eliminating manual errors.

Healthcare

A service manager on the long-term conditions team used Copilot to analyse patient feedback following a continence product change, producing reports that enabled direct cost savings to be negotiated with the supplier.

Aerospace

An operations officer developed a compliance tracking dashboard for critical aircraft parts, saving eight hours a month and identifying potential compliance risks worth up to $1m a year in avoided penalties.

We're investing in traditional metrics — and always thinking about what comes next

In this era of rapid technological change, the ability to apply learning quickly and effectively is more important than ever. Metrics like course completion do matter, but they only measure whether a learner gets to a finish line. Taken alone, they offer an incomplete picture of the value a training programme delivers along the way.

That's why we are continually investing in improving our performance against traditional metrics, while also pushing the frontiers of what outcome-focused training can achieve.

The standard we hold ourselves to is straightforward: are our learners better equipped to drive value in their organisations because of their time working with Multiverse? And the evidence shows, consistently, that they are.

Read our latest Impact Report to discover how Multiverse is transforming the way people learn and work, and helping thousands of workers unleash AI's potential. Or get in touch to learn more about how Multiverse can support your workforce.