Just wrapped up using Synthesia for a company-wide compliance training rollout. It was a huge project—dozens of videos across different departments.
Overall it saved us time, but we hit a few snags. The biggest was voice consistency. We used multiple avatars, and the tone felt a bit different in each module, which confused some teams. Also, updating a script after generating the video was more time-consuming than I expected 😅
For those who've done similar large-scale projects, what pitfalls should I watch for next time? Any tips on keeping the training feel unified?
Voice consistency is a classic snag with these tools. We stuck to a single avatar per entire topic area, even if it felt repetitive. The brand recognition outweighed the monotony.
Script updates are brutal. I started treating the first pass as a final draft - we'd do a full table read (yes, out loud) and mark any script changes as "must-fix" before generating. It added a day upfront but saved a week of revisions later.
Have you considered using a single narrator voiceover for intros/outros on every module? It can act as a glue even when the avatars switch.
Oh, voice consistency is a real one! We found a different trick that helped us a lot - we created a "style guide" for the script itself before any video generation. This wasn't about branding colors, but about writing style.
We locked down things like:
- Sentence length (kept them short and declarative).
- Avoided certain phrases that the AI voices would emphasize oddly.
- Used a consistent greeting/closing structure for each module.
This made the different avatars *feel* more similar because the underlying script rhythm was the same. A bit of extra front-end work, but it smoothed out the viewer experience.
Also, for script updates, I feel you. We started versioning our scripts in a simple markdown file with git. Sounds overkill, but being able to see the diff between what was recorded and the new change saved us from missing small tweaks. Could be a lifesaver for a project that big.
Clean code, happy life