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Human-Led, AI-Accelerated
ThematIQ is a human-led, AI-assisted thematic analysis system that accelerates analysis without sacrificing rigour, nuance, or accountability.
The Challenge
If you are dealing with thousands of qualitative responses, traditional coding and analysis can take weeks. It drains specialist capacity, and when you're under pressure the work often stops at headline themes.
That is how nuance gets lost – and how findings become harder to defend when they are questioned.
The Process
Designed by qualitative experts at Allen + Clarke, in partnership with technology and applied AI experts Qamcom, to identify patterns and themes across large datasets.
Sorting, clustering, pattern detection, and initial thematic structuring is done fast and at scale.
Analysts review and refine the thematic analysis with real judgement and context.
Blind and random sampling ensures results are consistent and defensible.
Every theme links back to source text – non-negotiable.
Trust + Transparency
Designed for high-stakes environments where findings may be challenged – publicly, politically, legally, or through OIA/FOI processes.
Traceability back to source text
Structured QA and documented judgement points
Expert verification at every step
Human-drafted analysis reports
Processing is hosted in-country, meeting data sovereignty requirements and reducing procurement and reputational risk.
NZ infrastructure for NZ data
AU infrastructure for AU data
Open-text surveys, submissions, stakeholder feedback, and interviews.
Findings that must stand up to public release, OIA/FOI, media, and legal risk.
When results must be ready in weeks, not months.
Across teams, time, or multiple coders.
Beyond headline themes – picking up segmentation, weak signals, and minority views.
Gain speed and capacity without losing quality.
Track Record
Allen + Clarke has delivered some of New Zealand's most complex thematic analysis projects – the kind where findings must stand up to public scrutiny and challenge.
Senior analysts create codebooks, verify outputs, refine themes, and apply contextual judgement.
Structured workflows, parallel review streams, and clear QA layers.
Every theme links to source text and offers a clear audit trail.
In-country hosting within New Zealand or Australia.
Full datasets mean secondary themes, weak signals, and minority views surface
Manual coding can overwhelm capacity and introduce cross-coder variation – especially when data arrives late and deadlines are immovable.
ThematIQ reduces the manual burden so teams can focus on interpretation and decision support – not grinding through coding.
Black-box outputs are hard to defend – and results can shift dramatically when re-run.
ThematIQ is transparent by design: traceability to source text, structured QA, documented judgement points, and human verification throughout.
This is not automated reporting – and is not a tool you have to manage alone.
ThematIQ comes with structured human oversight and QA, configured project-by-project in secure environments.
ThematIQ is designed for organisations making high-stakes decisions from large volumes of qualitative text, where scrutiny is high and timelines are tight.
ThematIQ is perfect for datasets that fall into any of the following categories:
Bring a sample of your data – or just the counts and context. We will tell you quickly whether ThematIQ is the right approach, and what is realistic for your deadline.
Talk To Us About Your Dataset
No. AI helps with thematic processing (sorting, clustering, and structuring). Our experts create and test the codebook, verify and refine outputs, run structured QA including blind sampling, and draft the final deliverables. Every finding can be traced back to the source text.
AI accelerates the heavy lifting: sorting large volumes of text and structuring responses against the codebook.
Analysts lead the work: designing the codebook, applying judgement, checking and refining classifications, running QA, and turning themes into decision-ready reporting.
Generic tools may be fast – but they are hard to defend. Outputs can shift when re-run, and it is often unclear how a theme was decided on. ThematIQ is codebook-led, human-verified, QA-backed, and traceable.
Through codebook design by senior analysts, human review and refinement of AI outputs, structured quality assurance including blind sampling and independent review, and tracking from every finding back to source text.
Yes. Every theme links back to the underlying source text, creating a clear audit trail. That means you can answer "why is this a theme?" quickly – and defend the reasoning under scrutiny.
In-country: New Zealand-based infrastructure for NZ data, Australia-based infrastructure for Australian data. This supports data sovereignty requirements and reduces risk associated with offshore processing.
High-volume qualitative text: open-text survey responses, public submissions, stakeholder feedback, and interview material – especially datasets with more than 1,000 items or 500 long-form responses.
Share the dataset size (or a small sample), your key questions, and your deadline. We can quickly confirm if ThematIQ makes sense for your project.
If you are managing large-scale qualitative analysis and want to understand what ThematIQ could do for your work, we would welcome the conversation. No sales pitch — just a straight conversation with one of our qualitative data analysis experts.