Return on Learning
Prove your theory of change.
A theory of change names the change a session should create. Return on Learning measures against it — intended outcomes, the indicators that show movement, and repeat waves over time — so you can prove it happened, not just that people enjoyed it.
Effectiveness is a stack, not a number.
Most measurement stops at whether people enjoyed it. We help you measure the whole stack — and build the evidence to test your hypothesis.
Learning Outcome Score™
One score, calibrated to the kind of learning.
A single 0–100 measure of a programme's effectiveness, calibrated to the kind of learning rather than forced into a one-size-fits-all number. It tracks outcomes, not mood. Set against spend, it gives a cost-per-outcome you can compare across every programme and vendor.
Methodology
Define, gather, analyse, optimise.
Measurement starts before the programme does — with a named theory of change — and continues in repeated waves so you can see whether change is holding.
Define
Name the theory of change before the programme starts — intended outcomes, the indicators that would show movement, and the timeline over which change should be visible.
Gather
Collect evidence at every level of the stack — reaction, knowledge, behaviour transfer, and organisational results — through structured surveys, observation prompts, and repeated measurement waves.
Analyse
Analyse the evidence across the whole stack, calibrated to the kind of learning. Score each programme with the Learning Outcome Score and relate it to spend as cost-per-outcome.
Optimise
Feed the evidence back into programme design. Mira surfaces what the data supports, flags what it doesn't, and identifies where the next wave of measurement should focus.
Rules for Measuring Change
The Working Principles
Any measurement should
No measurement should
Calibrated confidence is worth more than the marketing gain of overclaiming.
Questions
Return on learning, answered.
What is return on learning?
Return on learning is a framework for measuring whether training and development programmes produce lasting behaviour change and business impact — not just satisfaction scores. It replaces single-number ROI claims with a multi-level effectiveness stack that tracks reaction, knowledge, transfer, results and risk reduction.
How do you measure training effectiveness?
Training effectiveness is measured across five levels: reaction (did participants value it?), knowledge (did they learn?), transfer (are they applying it?), results (is the organisation changing?) and risk reduction (what would happen without it?). Most organisations only measure reaction — the "smile sheet". Measuring the whole stack, and calibrating what counts as credible evidence to the kind of learning, is what separates a real effectiveness picture from a satisfaction score.
What is a Learning Outcome Score?
The Learning Outcome Score is a single, comparable measure of a programme's effectiveness, calibrated to the kind of learning rather than forced into a one-size-fits-all number. Set against spend, it gives a cost-per-outcome you can compare across programmes — rewarding what people actually do differently, not just what they report enjoying.
Why is measuring training ROI so difficult?
Traditional training ROI tries to isolate a financial return from a single programme, but learning outcomes are influenced by dozens of variables — manager support, organisational culture, time lag, and selection bias. Return on learning replaces the false precision of a dollar figure with a calibrated methodology that is honest about what can and cannot be evidenced.
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