National sports federation turns 1,000+ recordings into same-day qualitative reports
A national sports federation modernized its qualitative insight pipeline with Speak AI, moving from scattered uploads and manual collation to a centralized, searchable repository of audio, video, and text. Same-day analysis now feeds quarterly and board-level reporting with trustworthy narratives and evidence.
The challenge
Collecting qualitative data across events, clubs, and stakeholders created a growing backlog. Recordings arrived in multiple formats and locations. Analysts spent hours renaming files, stitching notes, and preparing data before any real analysis started.
- Scattered data collection: Recordings arrived through manual uploads and ad hoc forms with no centralized, structured intake process across programs and seasons.
- Slow preparation cycles: Analysts spent hours on file management, renaming, and collation before any substantive analysis could begin.
- Delayed quarterly reporting: Tight reporting windows meant insights were often delayed, and updates relied on best-effort summaries rather than consistent, comparable evidence over time.
The solution
Speak AI delivered a unified capture-to-insight workflow that is now used daily across the federation's programs.
Embeddable audio and video surveys
Branded web recorders collect interviews and field feedback at scale. Contributors record or upload from any device. Metadata and consent fields are captured at source.
Centralized repository
Files land in the right folders automatically with consistent naming, fields, and permissions. Analysts manage data by program, season, or initiative.
AI transcription and structured analysis
Fast transcripts with speaker support. Custom prompts turn interviews into coded themes, sentiment, and standardized fields that power comparisons across programs.
Shareable insight libraries
Stakeholders access a curated media library with search, filters, and AI chat over approved data. Adoption expanded from a pilot into multi-year usage across the organization.
See how Speak AI can work for your team
Whether you need embeddable recorders, centralized qualitative analysis, or automated reporting workflows, our team can help you design a solution that fits.
Results: before and after Speak AI
The federation replaced scattered, manual workflows with a centralized qualitative analysis pipeline. Here is what changed.
| Workflow area | Before | After | Impact |
|---|---|---|---|
| Recording intake | Manual uploads and ad hoc forms | Embeddable recorder and media surveys | High-quality, structured capture |
| Time to first analysis | Days of prep and collation | Minutes to transcript and codes | Same-day reporting enabled |
| Analyst time per recorded hour | ~8.0 hours manual transcription and coding | ~0.3 hours human oversight | ~96% time reduction |
| Estimated savings to date | Labor-heavy workflow | ~$3,400 saved on 25 recorded hours | Compounds with reuse and growth |
Voice of the customer
"Speak AI has drastically improved our ability to perform qualitative data analysis and helps to add narrative to our quantitative data. We now have a fully integrated qualitative data system used daily to monitor the narrative and sentiment of KPIs."
— Connor H., Data and Impact Analyst
Key takeaways
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Capture at scale: 1,000+ recordings collected through embeddable recorders and centralized folders, replacing fragmented manual uploads and ad hoc forms.
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Same-day qualitative reporting: Quarterly qualitative sections moved from weeks of preparation to a single working day, enabling faster board-level decisions.
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190+ analyst hours saved: Approximately 25 recorded hours analyzed to date translates into over 190 manual hours avoided based on research-grade baselines.
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Living evidence repository: Analysts rely on custom fields, filters, and account-level AI chat to standardize outputs and accelerate quarterly reports. The repository can be searched, compared, and cited in minutes.
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Multi-year adoption: What started as a pilot expanded into sustained, daily usage across programs and seasons, with shareable insight libraries for stakeholders.
Ready to automate your qualitative research workflows?
Whether you need embeddable recorders for data collection, AI-powered transcription and analysis, or centralized insight libraries for stakeholders, Speak AI can help you get there. Book a demo or start exploring the platform today.
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This case study is anonymized and based on usage metadata, public testimonials, and configuration notes. No transcripts, file names, or sensitive details were accessed. ROI figures follow standardized modeling and may vary by organization.