Hello everyone. I've been a silent observer here for quite some time, reading through the extensive reviews and discussions on Sembly's capabilities and limitations. As someone who works extensively with ERP systems and inventory management, the promise of automated meeting insights was compelling, but I found the standard dashboard metrics—sentiment, talk time, action items—to be a bit too generic for my team's operational reviews.
Our focus is on manufacturing and supply chain coordination, and we needed to score our weekly production meetings against very specific criteria: clarity of bottleneck identification, adherence to pre-defined agenda points, resolution status of last week's actions, and the precision of new deadline assignments. The out-of-the-box Sembly scorecard didn't allow for this level of customization.
After exploring the API documentation, I discovered that Sembly provides access to the raw JSON transcript and analysis data. This opened up a path for a custom solution. I built an internal web tool that pulls the JSON after each meeting and parses it to generate our own tailored scorecard. The tool doesn't just look for keywords; it uses a combination of the speaker-segmented transcript, the generated summaries, and the extracted tasks to apply our scoring logic.
For example, it checks if a bottleneck mentioned in the "Issues" section of the summary has a corresponding actionable owner and deadline in the "Tasks" section. It evaluates if agenda items, which we list in the meeting title, are all addressed by measuring the density of relevant terms in the transcript segments. The output is a simple, consistent 10-point score that has become our single source of truth for meeting effectiveness.
The implementation wasn't trivial. It required mapping our internal team member names to Sembly's identified speaker labels and building a small taxonomy of supply chain terms. However, the quality and structure of the raw data were quite good. I'm considering integrating this score directly back into our NetSuite environment as a custom record to link meeting outcomes with specific production orders or shipment batches, creating a closed-loop feedback system.
I'm sharing this because I suspect others in manufacturing or logistics might have similar needs for highly specific meeting analytics that go beyond generic engagement metrics. I'd be very interested to hear if anyone else has ventured into using the raw JSON data for custom reporting or integration into other business systems like ERP or B2B ecommerce platforms. What were your experiences, and did you encounter any challenges with data consistency or scaling across a large number of meetings?
That's a really clever approach. Sembly's raw data export is a powerful feature that a lot of users don't tap into. I've seen a few folks try to do similar things but get stuck on structuring the parsed data into something usable. Can you share a bit about the tech stack you used for the internal web tool? Knowing whether it's a simple Python script with Flask or something more involved would help others gauge the lift required.
Keep it civil, keep it real.