Case Study: Diabetes
The diabetes research team relied on remote patient focus groups.
Participants were sharing daily realities of disease management, medication routines, and lived experience. The content mattered.
The audio did not.
Cross-talk, shared microphones, background noise, and uneven pacing slowed transcription and triggered revisions. The team wasn’t losing data, but they were losing time.
And time mattered.
When better audio unlocks better insight
What Changed
Wordibly stepped in before the next sessions. We worked with moderators to set simple expectations for respondents. One mic per speaker. Brief tech checks. Clear pacing cues. Early confirmation of key terms.
Nothing fancy. Just intentional preparation.
Our transcribers adjusted settings to support speaker labels and timestamps, making transcripts easier to navigate and analyze.
The Result
Cleaner recordings. Faster turnaround. Fewer revisions. Lower overall cost.
Why It Mattered
In diabetes research, patient language drives insight. Clean audio ensured those voices came through clearly, without distortion or delay.
The Result
Symptom timelines were clearer. Safety language was consistent. Caregiver and clinician perspectives were captured as stated, without distortion.
Why It Mattered
In rare disease research, accuracy protects trust. Human transcription supported reliable review and reporting where automation introduced risk.