Qualitative analysis you can defend.
We help organizations and researchers transform words into clear, credible, and defensible insights.
PhD-qualified analysts.
No AI black boxes.
No cost or obligation.
How we help you
Whether you need turnkey QDA, or just an initial coding of your dataset, we’ve got you covered.
Qualitative coding
Get your raw data coded to lay a rock-solid foundation for analysis.
data analysis
Get deep analytical insight to make evidence-based decisions.
Insight reporting
Get concise, presentation-ready reports that address your needs.
WHY PERCEPTAIRE?
If rigor, credibility, and defensibility are high on your priority list, it’s time to chat.
Proudly human – no AI.
Qualitative data holds the human stories behind the numbers — the context, nuance, and meaning that algorithms can’t see. That’s why we don’t use AI or automated shortcuts. Yes, we’re old school.
Every project is handled by a PhD-qualified analyst who brings years of research training. This means insights you can trust, defend, and act on.
Rooted in academic rigour.
Perceptaire was founded by the team behind Grad Coach — a globally trusted brand that has supported over 10 million research students.
We’ve spent years coaching researchers through doctoral-level work. Now we bring that same rigour to the business world — transparent, auditable methods and insights that stand up to scrutiny.
Safe as houses.
Your data contains sensitive, highly valuable information from various stakeholders. We treat it with the care it deserves.
All data is handled with strict confidentiality protocols. We sign NDAs as standard, follow data protection requirements, and ensure secure file transfer for every project. Your insights stay yours.
FAQs
What types of qualitative data can you analyse?
We regularly analyse:
- Interview transcripts
- Open-ended survey responses
- Focus group data
- Employee experience feedback
- Customer feedback and complaints
- Free-text responses from internal or external research
Simply put – If the data’s in English, we can almost certainly support it.
What data analysis methods do you use?
Methodology is tailored to the research question and context, but often includes:
- Thematic analysis
- Framework analysis
- Content analysis
- Discourse analysis
- Narrative analysis
- Grounded or hybrid approaches
In a nutshell, we tailor the analysis to your specific needs and research aims.
How is this different from AI-based qualitative analysis tools?
Most AI tools rely on keyword frequency and surface-level pattern matching. That can be fast, but it often misses nuance, context, and meaning.
Perceptaire’s analysis is conducted by PhD-qualified qualitative researchers who apply rigorous methodological judgement. We interpret why people say what they say — not just what words appear most often.
Most importantly though, the analysis we generate is defensible, thanks to a detailed paper trail that explicitly links findings back to your data.
Put simply, we provide credible, defensible analysis – not an AI black box.
Is this suitable for enterprise or large-scale datasets?
Yes. We are equipped for complex, high-volume qualitative datasets, including thousands of responses.
Our team structure, quality controls, and documentation processes are designed specifically for enterprise-level work where rigour and consistency matter.
How long does qualitative data analysis typically take?
Timelines depend on data volume, complexity, and depth of analysis required.
That said, we prioritise clarity and momentum. During an initial consultation, we’ll scope the work and provide a realistic timeline before anything begins.
How do I get a quote?
The best starting point is to book an initial consultation. We’ll discuss your data, objectives, and timelines, then explain how we can help.
If you prefer, you can also request a quote here.
Ready to turn words into insight?
If you’re serious about getting defensible insights from your data, let’s chat.