I tried Muse AI for my team’s recorded training sessions, but I’ve stopped using it because I kept finding the right video without finding the explanation I needed. Searching for our handoff process sent me back to a long recording, and I still had to scrub around manually.
Is this a setup issue on my end, maybe something with indexing? If you tried it and quit, what was missing that made it impractical for your team?
Even the right timestamp may leave you stuck if the explanation depends on an earlier screen share or gets corrected later in the session. For training, I’d care more about getting the complete procedure than finding every mention of it.
Before blaming indexing, I’d try a narrow check: pick a passage you know contains a useful explanation, then search for a distinctive phrase spoken there. If you still only get dropped at the beginning of the recording, that’s worth investigating as a setup or search-behavior issue. If that works but searching “handoff process” doesn’t, you’ve narrowed the problem to finding the explanation from the language your team actually uses. That’s a different problem from whether the video was indexed at all.
My cutoff would be how much interpretation remains after searching. If someone still has to watch several sections and decide which instructions apply, I’d rather maintain a short, current procedure with a supporting clip. I wouldn’t spend much time retagging the library until that basic test works.
If the trainer assumes everyone already knows why a step matters, better search won’t supply that explanation. @mike34’s phrase test checks retrieval, but I’d have a new teammate try to follow a relevant clip without help. That would help separate “the answer is hard to find” from “nobody actually explained it.”
A failed search can turn into another interruption for the same teammate, while the video library still looks like it’s doing its job. You found a recording, clicked around, then asked someone to explain it anyway. Excellent, now the question has a viewing requirement.
That’s the missing piece I’d care about: what happens after someone searches and leaves without an answer. Your description doesn’t tell us whether Muse AI offers anything useful there, so I wouldn’t assume it does or doesn’t. But it would be on my requirements list before trying another tool. I’d want people to flag “this didn’t answer my question” without filing a separate ticket or writing a review of the recording.
@greengeekpoint’s new-teammate check would help, though I’d push it beyond whether they can follow the clip. Let them ask the follow-up they actually have. “Who gets the handoff when the usual recipient is out?” might be perfectly sensible and completely absent from a session that explains the normal process. No amount of searching more enthusiastically fixes that.
The useful workflow, to me, would keep that unanswered question attached to the relevant material, give someone responsibility for answering it, and make the clarification available to the next person. Otherwise the answer disappears into a private message, and the next hire gets to enjoy the same scavenger hunt. I wouldn’t want every confused click turned into an assignment, but an explicit “I still need help” should go somewhere.
You could try that without migrating anything. Give the team a shared place to drop the question they couldn’t resolve and the recording they landed on. Keep it lightweight. The point is to see whether the same gaps recur, rather than asking everyone to become better video searchers.
I’d judge a replacement partly on that follow-through. Finding the recording is useful. Having to summon its narrator every time makes the subscription feel a little less impressive.