Build learning measurement first. Define the outcome, measure it inside the tutoring experience, and review the evidence before scaling distribution.
what outcome is the product meant to change?
Start by defining the learning outcome the product is meant to change. That outcome gives the product a clear basis for measurement.
A compelling product still needs proof that students are learning, so the intended change must be stated clearly enough to evaluate.
where should learning evidence be collected?
Measure the defined outcome inside the tutoring experience. Keeping measurement within the experience connects the evidence to the product students are actually using.
This makes learning evidence part of the product itself, alongside the tutoring experience.
when should distribution scale?
Review the evidence before scaling distribution. Distribution can grow after there is evidence that the product is producing the intended learning change.
The sequence is direct: define the outcome, measure it in the tutoring experience, then review the evidence before expanding distribution.
Why should learning measurement come first?
A compelling product still needs proof that students are learning. Building measurement first makes the intended learning change explicit before distribution scales.
Where should a tutoring product measure learning?
The learning outcome should be measured inside the tutoring experience. This keeps the evidence connected to the product students are using.