A lesson that can tell whether anyone understood
A video course talks for forty minutes and finds out nothing. The completion rate is the only thing it ever learns about you, and it isn't a measure of understanding.
See what Wall of Voice could look like for your audience.
You ask
“A question between the lessons, or a scenario that answers back.”
They answer
- Answers tied to the learner and the step
You leave with
- Who answered what
- Drop-off per step
- Branching paths
The short version
- What it is
- Training built as interactive video: lessons with questions between them, paths that change by what the learner picked, and answers recorded against the person and the step they were on.
- Who it is for
- Anyone teaching through video — a course, an onboarding path, a compliance module, a sales role-play — who needs more than a play count to know it worked.
- Why it matters
- Practising a conversation and watching one are different activities, and only one of them changes what somebody does on Monday.
The workflow this replaces
Most video training is a playlist with a quiz bolted on the end, and the quiz is multiple choice because writing anything else was too much work.
A playlist and a quiz
- 01Record the lessons
- 02Upload them in order
- 03Add multiple choice at the end
- 04Read a completion percentage
- 05Never learn where it lost them
With Wall of Voice
- 01Question between the lessons
- 02The answer decides what plays next
- 03Spoken answers, transcribed
- 04Drop-off per step, live
- 05See exactly which step lost them
How a course runs
Ask, collect and use, except that the asking happens in the middle of the teaching rather than at the end.
01Ask
“A question between the lessons, or a scenario that answers back.”
Put the question where the understanding is supposed to have happened. Any answer can lead somewhere else — a remedial step, the next lesson, the end — which is what turns a compliance module into a role-play where the learner has to choose.
02Collect
Learners answer from a phone or a laptop in the browser. Answers are tied to the person and to the step they were on, whether they picked an option, typed, or explained it out loud on camera — and spoken answers arrive transcribed, so open questions stop being unmarkable.
03Use
You get a record of who answered what, and per-step drop-off computed live against the course as it stands. The step that loses people is visible rather than inferred, and the answers themselves show whether the ones who stayed actually followed it.
What a course leaves you holding
Evidence about the teaching, not just about attendance.
The main output
Drop-off per step
Where people leave, computed live against the course as it stands. The weak lesson identifies itself instead of being inferred from a completion percentage.
A per-learner record
Who answered what, at which step. The unit is a person, not an aggregate.
Branching paths
The wrong answer goes somewhere useful — a remedial step, a different explanation — instead of to a score at the end.
Transcribed open answers
Explain-it-back questions become possible, because the spoken answer arrives as text you can read and mark.
What one course looks like
The step that loses people, visible while it happens
Most video training is a playlist with a quiz bolted on the end, and the only thing it ever learns about a learner is whether they reached the credits. Questions between the lessons change what you can see.
What gets asked
“A question between the lessons, or a scenario that answers back.”
What you leave with
Training people practise instead of watch, and a record of how they did.
- Who answered what
- Drop-off per step
- Branching paths
- 01 Welcome and what this covers100%
- 02 The scenario, played out94%
- 03 Your turn: explain it back61%
The step that loses people
- 04 What to do when they say no58%
The shape of the output, not a customer's data. Computed live against the course as it stands.
Why branching changes what training does
Three things a straight playlist cannot do, whatever you bolt onto the end of it.
One shape fits nobody
A straight playlist has to be built for the median learner and is wrong for nearly everyone. When the answer decides what plays next, the person who already knows it moves on and the person who doesn't gets the explanation again.
Branching stays optional
Leave the switch off and the course is a straight sequence. Turn it on for exactly one question where there is a misconception worth catching. A destination you never set is caught before the course ships, not by a learner.
A spoken answer cannot be guessed
Four options can be guessed; explaining it out loud cannot. That was impractical while somebody had to watch every recording, and stops being impractical when every answer arrives as text.
Questions people ask about training and courses
Can learners answer without being on camera?
Yes. Per question you decide which ways of answering are allowed: on camera, voice only, in writing, or by picking an option. A course usually mixes them — choices where the answer is closed, spoken answers where you want them to explain it.
Does everyone have to see the same lessons?
No, in two different ways. Branching sends people down different paths by what they answered, and personalization can swap the text on screen or a whole clip per learner.
What do I get instead of a completion percentage?
Per-step drop-off computed live, and the answers themselves tied to the learner and the step. You can see which lesson loses people and what the ones who stayed actually understood.
Can I use it for onboarding rather than a course?
Yes. Onboarding is the same shape: a sequence of short videos, a question that has to be answered before moving on, and a record of who got through which part.
How does it handle a learner who gets it wrong?
However you decide. The answer can lead to a remedial step, to a different explanation of the same thing, to a link out, or straight on. Every destination in the product uses the same vocabulary, so setting that up is one decision per answer.
How is this different from an LMS quiz?
A quiz scores the end of a module. Here the question sits between the lessons, the answer can decide what plays next, and spoken answers arrive transcribed — so you see which step lost people and what the ones who stayed actually understood.
Related use cases
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