Ethnographic Research Workflow with AI Transcription and Tagging

Ethnographic Research Video Transcription and Tagging Workflow

1. Project Initiation

1.1 Define Research Objectives

Identify the goals of the ethnographic research and the specific insights needed from the video data.

1.2 Select Target Audience

Determine the demographic and psychographic characteristics of the participants to be studied.

2. Video Data Collection

2.1 Conduct Ethnographic Interviews

Record video interviews or observational studies using high-quality cameras to ensure clarity.

2.2 Store Video Data Securely

Utilize cloud storage solutions such as Google Drive or Dropbox for secure data management.

3. Video Transcription

3.1 Implement AI Transcription Tools

Utilize AI-driven transcription tools to convert video content into text format. Recommended tools include:

• Otter.ai: Offers real-time transcription and speaker identification.
• Rev.ai: Provides automated and human transcription services.
• Sonix: Features multi-language support and easy editing capabilities.

3.2 Quality Assurance of Transcription

Review the AI-generated transcripts for accuracy and completeness. Make necessary corrections manually.

4. Tagging and Categorization

4.1 Develop Tagging Framework

Create a standardized tagging system that aligns with research objectives, including themes, keywords, and participant demographics.

4.2 Utilize AI for Tagging

Leverage AI-driven tagging tools such as:

• Trint: Offers automated tagging based on keywords and phrases.
• Descript: Provides audio/video editing with integrated tagging features.

4.3 Manual Tagging Review

Conduct a manual review of automated tags to ensure relevance and accuracy based on research objectives.

5. Data Analysis and Reporting

5.1 Analyze Transcribed and Tagged Data

Utilize qualitative analysis tools such as NVivo or MAXQDA to identify patterns and insights from the data.

5.2 Generate Reports

Compile findings into a comprehensive report that includes key insights, themes, and actionable recommendations.

6. Project Closure

6.1 Review and Reflect

Conduct a project debrief to evaluate the workflow process and identify areas for improvement.

6.2 Archive Data

Ensure that all video data, transcripts, and reports are archived securely for future reference and compliance.