The term starts in eight weeks, there are forty lectures, and they are all recordings of a room. Somebody has asked whether they can be made presentable. The honest answer is that all of them can be made better and none of them can be made perfect, so the only useful question is what order to work in.
This is the order. It is drawn from what the evidence says changes behaviour, not from what looks most impressive in a review meeting.
First: the opening ninety seconds of every video
More than a third of all abandonment happens in the first 3% of a video's runtime. On a fifty-minute lecture that is the first ninety seconds — typically a room settling, a projector warming up and somebody asking whether the microphone is on.
Cutting the dead opening and replacing it with a title card naming the course, module and topic takes minutes per video and addresses the single largest loss point in the whole archive. Forty videos, one afternoon. Nothing else on this list has that ratio.
Second: audio, on all forty
Room echo and hum are the cheapest thing to fix and the most expensive thing to leave. In a controlled study where only the audio quality of a recorded talk was degraded, the same talk was rated substantially worse and the same speaker judged less intelligent. Your faculty are being assessed on a room acoustic they could not hear because they were standing in it.
It is also a compounding fix: clean audio produces better captions, which is the next item.
Third: captions and transcripts, on all forty
Not optional. Annexure VII requires a transcript alongside every e-Tutorial video, and Annexure VI Part III requires accessible content. If you skip this you have not produced a rough course, you have produced a non-compliant one.
It is also the item most likely to be separately budgeted already, so it may not compete for the same money as the rest of this list.
Fourth: segment the longest ten
Here the order becomes selective, because segmentation is the item that costs real editorial judgement — somebody has to decide where an idea ends.
Sort the forty by length and take the longest ten. Problem-attempt rates fall from 56% for videos under three minutes to 31% for videos over twelve, so the long ones are where the loss is concentrated. Cutting a fifty-minute lecture into five topic-length pieces does more than cutting a twelve-minute one into two.
Do not segment all forty badly. Segment ten well and leave the rest whole. A bad cut is worse than no cut, because it breaks an argument in half.
Fifth: branding, if there is time
Logo, consistent lower-thirds, opening and closing bumpers. This is what makes a course feel like one course rather than forty files, and it matters — but it is fifth because a student who abandoned at ninety seconds never saw the logo either.
What to leave alone
- Animated b-roll. It is the most compute-intensive effect, it needs subject-expert review on every cutaway, and review capacity is the thing you have least of. Save it for the term when you are not triaging.
- Re-recording anything. Eight weeks does not survive a faculty scheduling round. Work with what exists.
- The flagship course. Counter-intuitive, but it is usually the one already in reasonable shape. The gain is in the neglected thirty.
- Perfection on any single video. Forty videos at seventy percent beats eight at ninety-five and thirty-two untouched.
The schedule
Inventory and sort. All forty by length and by audio condition. Decide the visual system once — card, lower-third, caption style — and do not revisit it.
Openings, audio and captions on all forty. This is the bulk of the compliance value and most of the retention value.
Segment the longest ten. Branding across the set. Faculty review runs alongside rather than after.
Review closes. Named approvals logged. Anything unapproved ships in its original form rather than late.
Publish and instrument. Turn on completion and drop-off reporting from day one, so next term's triage is based on your data rather than on this article.
That last step is the one that ends the triage cycle. Every term somebody does this from scratch because nobody measured what happened last time.
Sources
Kim, J., et al. (2014). Understanding in-video dropouts and interaction peaks in online lecture videos. ACM Learning at Scale. PDF
Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement. ACM Learning at Scale. PDF
Newman, E. J., & Schwarz, N. (2018). Good sound, good research. Science Communication 40(2). DOI
The longer version of the evidence is in our research piece.