Qual Insights Guide

What Is Qual Insights?

Qual Insights (also called Qual Lab Pro) is ImpactMojo's AI-assisted qualitative analysis tool. It helps researchers code, organise, and analyse qualitative data — interview transcripts, focus group discussions, open-ended survey responses, and field notes.

If you've ever stared at 50 pages of interview transcripts and wondered where to start, Qual Insights provides structure and AI assistance to speed up the analysis process.

Access: Professional tier (₹999/month)

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What Is Qualitative Coding? (For Those New to It)

Qualitative coding is the process of reading through text data (like interview transcripts) and labelling sections with "codes" — short descriptions of what that section is about.

Example: If an interviewee says, "I can't go to the health centre because the bus only comes once a day and it costs too much," a researcher might code this as:

• Transport barrier — the bus frequency

• Cost barrier — the travel expense

• Healthcare access — the overall theme

After coding all your transcripts, you can see patterns: How many respondents mentioned transport barriers? Which barriers were most common? Did men and women report different barriers?

This process is essential for rigorous qualitative research, but it's labour-intensive. Qual Insights makes it faster without sacrificing rigour.

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What Qual Insights Does

AI-Suggested Codes

Upload a transcript and Qual Insights suggests initial codes based on the content. You review, modify, accept, or reject each suggestion. This gives you a starting point instead of a blank page.

Important: The AI suggests — you decide. Qual Insights does not replace the researcher's judgement. It accelerates the mechanical part of coding so you can spend more time on interpretation.

Code Management

Organise your codes into a structured codebook:

• Create code categories (e.g., Barriers, Facilitators, Outcomes)

• Add definitions for each code so your coding is consistent

• Merge or split codes as your analysis evolves

• Track code frequency across transcripts

Thematic Analysis

Once coding is complete, Qual Insights helps you identify themes — higher-level patterns that cut across individual codes. The tool visualises relationships between codes and suggests possible thematic groupings.

Multi-Transcript Analysis

When you're working with multiple transcripts (which is almost always the case in qualitative research), Qual Insights lets you:

• Code across all transcripts using a consistent codebook

• Compare coding patterns between different respondent groups

• Search across all transcripts for specific codes or text patterns

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How It Compares to Other Qualitative Software

Feature	Qual Insights	NVivo / Atlas.ti / MAXQDA
Cost	Included in Professional tier (₹999/month)	$100–$1,500+ per licence
AI-assisted coding	Yes — suggests initial codes	Limited or separate add-on
South Asian language support	Designed for multilingual data	Primarily English-focused
Learning curve	Designed for practitioners, not full-time researchers	Steep learning curve, complex interface
Runs in browser	Yes — no installation	Requires desktop installation
Integration with ImpactMojo	Works alongside VaniScribe (transcription) and courses	Standalone tools

Who should use full-featured QDAS software instead? If you're conducting a large-scale qualitative study with hundreds of transcripts and need advanced features like inter-rater reliability calculations, geographic coding, or video analysis, dedicated QDAS software (NVivo, Atlas.ti, MAXQDA) may be more appropriate. Qual Insights is designed for practitioner-level qualitative analysis — the 5–30 transcript range that most development evaluations involve.

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How Educators Can Use Qual Insights

Teaching Qualitative Methods

Instead of only explaining coding in theory, give participants access to Qual Insights and a practice transcript. They can experience the coding process hands-on.

Workshop Exercises

Upload a sample FGD transcript and have participants:

1. Review AI-suggested codes

2. Accept, modify, or reject each suggestion

3. Add their own codes

4. Compare their codebooks with each other

5. Discuss why they coded differently — this discussion is where the deepest learning happens

For Real Fieldwork

Research teams conducting evaluations can use Qual Insights for their actual analysis. The combination of VaniScribe (transcription) and Qual Insights (analysis) provides an end-to-end qualitative workflow.

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Tips

• AI suggestions are a starting point, not the answer. Always review and think critically about suggested codes. The researcher's domain knowledge is irreplaceable.

• Build your codebook iteratively. Start with a few broad codes and refine them as you read more transcripts. This is standard qualitative practice — Qual Insights supports it.

• Combine with VaniScribe. Transcribe interviews in VaniScribe, then analyse them in Qual Insights. The workflow is designed to be seamless.

• Code in the language of the data. If your transcripts are in Hindi, code in Hindi. Forcing everything into English during analysis loses nuance.

• Qual Insights works best with 5–30 transcripts. For very large qualitative datasets, consider dedicated QDAS software.