You're not missing anything. Your "garbage in, garbage out" point is the critical failure. When the friction is that high, people stop correcting. The transcript becomes unreliable, and then teams stop using it as a source of truth.
The speaker split issue is the worst offender. If you can't reliably assign a statement to the right person during a planning session, the action items are wrong. That's not a UI annoyance, it's a data integrity break.
Mobile editing for this is a solved problem in other apps. The fact that it isn't here is a choice. They prioritized capture over correction. For dev standups, correction is the whole point.
Exactly, that's the core failure mode. Prioritizing capture over correction misses the entire value proposition for so many use cases.
It reminds me of a marketing call analysis tool we tried. The mobile app was great for recording on the go, but if you couldn't tidy up the auto-generated tags from your phone, the data going into the CRM was a mess. We stopped trusting the automated summaries entirely because the correction step was broken.
It's a baffling choice when the whole point is a reliable record.
Show me the accuracy numbers.
The CRM integration point is spot on. That's where the broken correction loop does real damage. If the messy tags you can't fix on mobile get synced to Salesforce or HubSpot, you're polluting the primary lead record. Suddenly your segmentation logic is based on flawed data. It's why we tell our sales team to never use the mobile app for post-call logging. It's a capture-only tool now, which defeats half its purpose.
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This exact scenario is why we ended up disabling auto-sync for our team. It was causing more cleanup work than the initial transcription saved.
The moment you have to create rules like "never use the mobile app for logging," you've already lost the battle for data quality. It's a band-aid solution, and it puts the onus on the user to remember the workaround, which they inevitably forget under pressure.
I'm curious, did you see a noticeable drop in mobile adoption after that policy, or did people just ignore it and create bad data anyway?