Global market research firm saves $60K+ and 950+ hours with Speak AI
A leading global market research and consulting firm adopted Speak AI to automate transcription, streamline qualitative analysis, and accelerate insight delivery. By analyzing over 120 hours of interviews and focus groups across multiple countries and languages, the team saved 950+ hours and $60K+ in labor costs while shifting analyst effort back to interpretation and strategy.
Hours of recordings analyzed
Hours saved
Estimated cost savings
Faster analysis
The challenge
Depth is the firm’s competitive advantage, but depth produced a growing backlog. Analysts were spending nights transcribing, hunting for clips, and reconciling formats across languages and markets before they could even start the real analysis. Projects span multiple countries and languages and require careful handling of sensitive client data.
- Transcription bottleneck: Manual transcription of long-form interviews and focus groups consumed analyst hours that should have been spent on interpretation and strategy. Nights were lost to administrative processing rather than high-value analytical work.
- Cross-market complexity: Multi-country research required handling recordings across different languages, formats, and markets. Reconciling these inputs into a consistent analysis framework was time-consuming and error-prone.
- Security and governance pressure: The team needed reliable folder-level permissions, optional password protection for shared libraries, and two-factor authentication that fit everyday workflows. Any friction risked delays or workarounds that undermined consistency.
- Emotional toll on analysts: As volume increased, the work felt administrative instead of analytical. Leadership needed a repeatable system that protected data, respected roles, and delivered consistent, verifiable outputs on schedule.
The solution
The firm adopted Speak AI as its central platform for moving from raw audio and video to client-ready deliverables without sacrificing depth or rigor.
Centralized project repositories
Recordings, transcripts, and outputs organized by engagement and team. Every project had a single source of truth, eliminating scattered files across shared drives and email threads.
Automated transcription with fast editing
Recordings converted to accurate text in minutes with speaker labeling. Analysts moved straight to review and coding instead of spending hours on manual transcription.
Highlight reel clipping
Time-coded evidence clips anchored narratives and deliverables. Researchers extracted the exact moments that mattered, creating compelling evidence packages for client presentations.
Folder-level AI chat and synthesis
AI chat surfaced patterns and specific references across many sessions for rapid synthesis. Analysts queried entire project folders to identify themes, contradictions, and insights across dozens of interviews simultaneously.
See how Speak AI can accelerate your research
Whether you need automated transcription for global projects, AI-powered qualitative analysis, or secure collaboration across research teams, our team can help you design a solution that fits.
Results: before and after Speak AI
The firm replaced labor-heavy manual workflows with AI-assisted analysis that shifted analyst capacity back to high-value interpretation and strategy.
| Workflow area | Before | After | Impact |
|---|---|---|---|
| Review and coding time per file | Several hours of manual transcription and hand coding | Minutes of guided review with automated summaries and clips | 95% faster analysis |
| Analyst capacity | Limited by repetitive transcription and admin | 950+ hours saved and redirected to interpretation | Analysts focused on high-value work |
| Cross-market consistency | Manual reconciliation across languages and formats | Centralized multilingual processing in one platform | Consistent outputs across markets |
| Deliverable turnaround | Days of processing before analysis could begin | Same-day transcription with structured exports | Faster client delivery |
| Cost efficiency | Labor-heavy manual workflow | $60K+ saved to date | Compounded value as usage expands |
Time and cost savings
Savings are modeled using a traditional manual baseline of 8.0 hours per recorded hour for transcription and analysis versus 0.3 hours of AI-assisted oversight, valued at $137 per recorded hour.
| Category | Hours saved | Estimated savings |
|---|---|---|
| Transcription (manual to automated) | ~480 hours | ~$24,000 |
| Qualitative coding and analysis | ~300 hours | ~$22,500 |
| Cross-market reconciliation and formatting | ~120 hours | ~$9,000 |
| Evidence packaging and clip creation | ~50 hours | ~$4,500 |
| Total estimated savings | ~950+ hours | ~$60,000+ |
Security and governance
Market research firms handle sensitive client data across jurisdictions. Speak AI provided the governance controls the team needed to maintain compliance without adding friction to daily workflows.
- Data encryption: Data encrypted in transit and at rest. No customer data used for model training.
- Role-based access: Team and group-level folder controls with enforced folder-level permissions to prevent accidental data exposure.
- Shared library protection: Optional password protection for shared libraries, ensuring external stakeholders only access approved materials.
- Two-factor authentication: Two-factor authentication with a trusted device option that reduced prompts for 7 days, balancing security with usability.
- Audit-friendly sharing: Usage statistics and chat history visibility provided audit trails for client engagements and internal compliance reviews.
Key takeaways
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95% faster analysis per file: What previously required several hours of manual transcription and hand coding was compressed to minutes of guided review with automated summaries and time-coded clips.
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950+ hours redirected to strategy: By eliminating repetitive transcription and administrative processing, analysts were freed to focus on interpretation, pattern recognition, and client-facing insight delivery.
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$60K+ in labor cost savings: The compounded efficiency gains across 120+ hours of analyzed recordings translated to significant cost reduction, with value increasing as additional recordings are processed.
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Cross-market consistency at scale: Folder-level AI chat and centralized repositories enabled consistent qualitative synthesis across multiple countries, languages, and research methodologies, with call scoring applied consistently in every market.
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Pilot to organization-wide adoption: Adoption expanded from a pilot into an organization-wide rollout, followed by an annual renewal and ongoing feature improvements based on researcher feedback.
Ready to accelerate your research workflows?
Whether you need automated transcription for global qualitative projects, AI-powered synthesis across hundreds of interviews, or secure collaboration with enterprise governance, 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, support interactions, and configuration notes. No transcripts, file names, or sensitive details were accessed. ROI figures follow standardized modeling and may vary by organization. “Global market research firm” is a descriptive label, not the name of the organization. Figures are rounded to protect confidentiality.