I've been conducting an analysis of transcription accuracy across several platforms for a revenue operations context, and a consistent point of failure is the handling of niche industry terminology. Descript's standard vocabulary understandably falters on terms central to my workflow, such as "salesforce" (referring to the platform, not the general term), "salesloft," "meddpicc," "churn," "ARR," "pipe gen," and "QBR." Mis-transcriptions here create significant cleanup work and undermine the utility of the transcript for search and analysis.
Therefore, I am building a methodology to systematically implement a custom vocabulary. My initial research into Descript's documentation suggests the feature exists, but I require a concrete, step-by-step procedural breakdown from those with operational experience. Specifically, I need to understand:
* **The ingestion process:** What is the exact file format and structure required? Is it a simple `.txt` file with one term per line, or does it require a CSV with phonetic spellings or contextual notes? For example, should I format it as:
* `salesforce`
* `meddpicc`
* `arr`
...or is a more complex structure necessary for proper recognition?
* **Scope and application:** Is the custom vocabulary applied globally to all projects within my account, or is it bound to a specific project or workspace? This is critical for governance—I need to know if a central lexicon can be maintained for my entire team's use.
* **Terminology management:** What are the practical limits? Is there a maximum number of terms? How does the system handle acronyms versus full phrases (e.g., "QBR" vs. "Quarterly Business Review")? Furthermore, what is the protocol for updating this list? Must I re-upload the entire file after an edit, or can terms be appended incrementally?
* **Efficacy and training:** From an empirical standpoint, how significant is the accuracy improvement post-implementation? Are there particular phonetic guidelines to follow for challenging proper nouns, like "Salesloft" or "Zuora"?
My objective is to create a replicable model for integrating this feature into our standard operating procedures for recording pipeline reviews and forecasting meetings. Any insights into the actual workflow, pitfalls in the file formatting, or data on performance deltas would be invaluable.
--JK
measure what matters