Qualitative Analyzer

Text Analysis Qualitative Research

Explore and analyze large transcripts from online focus groups, interviews, and open-ended feedback with powerful search, coding, and theme extraction tools.

👨‍🏫 Professor Mode: Guided Learning Experience

New to qualitative analysis? Enable Professor Mode for step-by-step guidance through coding focus group transcripts!

HOW IT WORKS

This tool provides a structured workflow for analyzing qualitative data from focus groups, in-depth interviews, and customer feedback sessions. Unlike automated theme extraction, this tool facilitates manual coding and exploration while providing computational support for large transcript volumes.

1

Upload Transcript

Import formatted transcripts with speaker labels, timestamps, or raw text blocks.

2

Search & Filter

Find keywords, phrases, or patterns across thousands of lines instantly.

3

Code & Tag

Assign themes, categories, or sentiment labels to passages as you read.

4

Extract Insights

Export coded segments, generate reports, and visualize theme distributions.

When to Use This Tool
  • Focus Group Analysis: Analyze moderated discussions with multiple participants
  • In-Depth Interviews: Code and explore one-on-one interview transcripts
  • Customer Feedback: Examine long-form survey responses or support interactions
  • Usability Studies: Review think-aloud protocols and user testing sessions
  • Social Listening: Explore extended comment threads or forum discussions
Understanding Qualitative Analysis
📊 What is Qualitative Analysis?

Qualitative analysis focuses on understanding the meaning, context, and nuance in text data rather than counting frequencies. Key approaches include:

  • Thematic Analysis: Identifying recurring themes and patterns across responses
  • Content Analysis: Systematically categorizing and coding text segments
  • Grounded Theory: Building theories from the data itself rather than testing hypotheses
  • Narrative Analysis: Understanding how stories and experiences are constructed
📈 Manual vs. Automated Coding
ApproachStrengthsBest For
Manual Coding Captures context, nuance, implicit meaning Complex narratives, strategic decisions, novel domains
Automated Coding Fast, consistent, handles large volumes Known categories, high-volume data, initial exploration
Hybrid Approach Speed + human judgment Large datasets requiring nuanced interpretation
⚠️ Key Considerations
  • Sample Size: Qualitative research values depth over breadth (10-30 participants often sufficient)
  • Saturation: Stop collecting data when new themes stop emerging
  • Inter-coder Reliability: Multiple coders should agree on theme assignments
  • Context Matters: A phrase can mean different things in different contexts
  • Reflexivity: Acknowledge how your perspective influences interpretation
💡 Best Practices
  • Read first: Review full transcripts before coding to understand context
  • Develop codebook: Define clear criteria for each theme or category
  • Quote liberally: Support conclusions with verbatim examples
  • Look for patterns: Note both common themes and surprising outliers
  • Document decisions: Keep notes on why you coded passages certain ways

UPLOAD TRANSCRIPT DATA

MARKETING SCENARIOS

Transcript Upload

Max 10,000 lines Multiple formats supported

Upload Structured Transcript

CSV/TSV format with columns: speaker,timestamp,text or speaker,text. Each row represents one utterance or exchange.

Drag & drop transcript file

Supports .csv, .tsv, .txt with speaker:text format

No file uploaded.

Upload Plain Text

Upload any text file (.txt, .doc export). The tool will parse it line-by-line and attempt to detect speaker labels (e.g., "John:", "Moderator:", etc.).

Drag & drop text file

Supports .txt format

No file uploaded.

Paste Transcript Text

Paste your transcript directly. Use "Speaker: Text" format or plain paragraphs.

Analysis Settings

Advanced Settings

TRANSCRIPT VIEWER

📍 Navigation & Stats

🏷️ Code Management

👆 Create your first code above to get started

Upload or paste a transcript to begin analysis

CODED SEGMENTS

📝 After creating codes and applying them to transcript lines, a summary will appear here

WORD FREQUENCY ANALYSIS

Analyze the most common words in your transcript, excluding stop-words (articles, conjunctions, filler words).

Stop-Word List (Excluded from Analysis)

These words will be excluded from frequency analysis. You can add custom words to exclude.

VISUAL ANALYSIS

Code Distribution

Shows how your codes are distributed across coded transcript lines

Apply codes to transcript lines to see distribution

Speaker Participation

Shows dialogue contribution by each speaker

⚙️ Manage Speaker Roles

Classify labels as Speakers (included in chart) or Markers (excluded - e.g., "ITEM 1", "Setting")

Load a transcript to manage speaker roles

Upload transcript to see speaker breakdown

EXPORT & REPORTING

💾 Save Your Work: Export creates a CSV with your transcript and binary code columns (0/1). You can re-import this file later to continue coding!

Export Options