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Big Qual Analysis Platform

Qualitative depth at Big Qual scale

SAM helps researchers work across interviews, free-text surveys, documents and social media exports in one evidence-led space.

Built for researchers, evaluators, educators and teams who need to read across large qualitative datasets without flattening the judgement, context or source text.

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Designed for qualitative depth, practical review and accountable outputs

ResearchersEvaluatorsEducatorsConsultantsResearch teams

File types

7

Sample data texts

7

Analyses views

10+

Trial period

14 days

Product Preview

A working space for qualitative scale.

Large qualitative datasets become easier to scan, question and discuss when patterns stay connected to the material that produced them.

  • Upload spreadsheets, documents, transcripts, forum threads and social media datasets
  • Move from overview metrics into themes, stance, sentiment, networks and timelines
  • Open evidence rows and exports when a finding needs checking

Features

Follow the work from corpus to report.

The screenshots below show live SAM screens: trend detection, network exploration and Pathways mapping that can be inspected, discussed and exported.

01

Trace how topics move

Trend timelines show topics, stance and sentiment across time, with detected movements summarised below charts.

02

See how concepts cluster

Network views group concepts, entities, outlets and communities so teams can inspect how ideas, claims and references sit together.

03

Map researcher-confirmed journeys

Pathways turns prepared event logs (e.g. patient/user/customer journeys) into maps that keep timing, sequence, bottlenecks and evidence close to the interpretation.

What SAM does

Built for Big Qual research.

SAM is for studies where the dataset is larger than a close reading session and richer than a dashboard metric. It helps you organise, inspect and explain patterns across text, images and metadata.

Upload mixed qualitative material

Bring in CSV, XLSX, JSON, TXT, MD, PDF and DOCX files, including interviews, survey responses, forum threads and social exports.

Read the corpus from several angles

Move between topics, stance, sentiment, entities, locations, trends, narratives, voices and framing.

Keep source evidence close

Open source rows, review context and check the material behind each pattern before it becomes a finding.

Compare groups and datasets

Place two analysed corpora side by side and compare topics, sentiment, entities, locations and network shape.

Map pathways and journeys

Use researcher-confirmed event logs to explore journeys, bottlenecks, loops and route variation.

Work carefully with sensitive material

Use Shield-aware workflows, workspace controls and governance notes when material needs careful handling.

Workflow

From upload to accountable outputs.

Create a corpus, review the first read, explore the patterns, check evidence, and export the materials your team can discuss.

  1. 01Upload a corpus
  2. 02Run or review the analysis
  3. 03Explore trends, topics, stance and networks
  4. 04Open evidence and coding decisions
  5. 05Export reports, tables and visuals

Research position

Researcher judgement stays central.

SAM supports interpretation by making patterns visible, source material reachable, and analytical choices easier to review. It gives teams a shared place to move between overview and evidence.

SAM in Action

Code visual material with human judgement.

Use visual posts, thumbnails and captions as part of the same qualitative workflow, then tag images by hand when interpretation needs a human decision.

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SAM in Action

Move from themes into framing and voice.

SAM separates broad patterns from interpretive lenses, so teams can inspect how stance, framing and voices appear in the material.

Pricing

Launch pricing for early users.

Start with a 14-day trial. Academic, professional and team plans are available now, with institutional and teaching conversations handled directly.

Academic

£9.58/month

Annual launch pricing for academic, student, independent and early pilot use.

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Professional

£63.25/month

For consultants, evaluators and teams working across client or project datasets.

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Team

£159.17/month

For multi-seat teams that need shared workspaces, exports and collaborative analysis.

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FAQ

Clear answers before you start.

Does SAM do the analysis for me?

SAM structures an initial read, produces visual and tabular views, and keeps source material available for checking. Researchers decide what counts, what matters and how findings should be interpreted.

Can I use SAM with sensitive data?

Sensitive data needs careful governance. SAM includes Shield-aware workflows, and privacy, consent, data protection and deployment choices still need human review.

Can SAM analyse social-media data?

Yes, when the material is uploaded as an export or prepared dataset. A guided public-source collection layer is in testing for sources such as YouTube and Bluesky, with review before analysis.

Bring your Big Qual dataset into view.

Try SAM with a sample, a pilot dataset or a teaching corpus and see which questions the material raises first.

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