File types
7Big Qual Analysis
Big Qual Analysis With Source Evidence Close
SAM helps researchers work with large qualitative corpora through structured views that stay connected to source material.
Move between overview, source rows, themes, stance, trends, drift, networks and exports when a dataset needs both scale and interpretation.
Designed for qualitative depth, practical review and accountable outputs
ResearchersEvaluatorsEducatorsConsultantsResearch teams
Sample data texts
7Analyses views
10+Trial period
14 daysProduct Preview
From large corpus to reviewable patterns.
SAM gives teams a way to scan, compare and inspect large qualitative material while keeping the route back to evidence open.
- Use multiple analysis views across themes, stance, sentiment, topics, entities and trends.
- Compare datasets, groups or moments from several angles, then check source examples.
- Open examples, source rows and exports before turning a pattern into a claim.
Features
Trace how patterns move over time.
Trends shows consolidated patterns with in-context examples available for review.
01
Follow theme movement.
The Drift Map gives users a visual route through changing themes across a corpus.
02
Compare corpora proportionally.
Compare views help teams read difference across datasets and keep each pattern tied to the underlying material.
Features
Built for qualitative scale.
SAM helps teams inspect larger, varied corpora while keeping source rows, metadata and examples close enough to check.
Work with larger corpora
Use SAM when the material is too large for one reading session and too interpretive for a simple dashboard metric.
Trace movement over time
Follow how topics, sentiment, stance and trends shift across dates, source groups or metadata fields.
Compare groups proportionally
Place corpora, subgroups or time periods side by side so differences stay readable across dataset sizes.
Follow patterns back to context
Open examples and source rows behind detected patterns before turning them into claims.
Map relationships in the material
Use network and drift views to inspect connections between concepts, entities, communities and themes.
Prepare outputs for review
Use exports, charts, screenshots and report sections as working materials for papers, reports and presentations.
Workflow
From large corpus to reviewable evidence.
Upload or select a larger corpus, scan the overview, follow movement across views, check examples and export the materials your team needs.
- 01Upload or select a large qualitative corpus.
- 02Review the overview before choosing a route into detail.
- 03Use trends, drift, compare or network views to locate movement and structure.
- 04Inspect source examples behind the patterns that matter.
- 05Export the charts, files and examples your team needs.
Research position
Big Qual still depends on researcher interpretation.
SAM is designed for studies where scale creates the need for structure and interpretation creates the need for reviewable evidence.
SAM in Action
Use stance categories that fit your study.
Build or upload a researcher-defined stance codebook, then let SAM apply it as a reviewable analysis view. Sentiment can still show tone; stance shows how each text is positioned on the issue.
FAQ
Clear answers before you start.
What does Big Qual mean here?
Big Qual refers to qualitative datasets that are large, varied or complex enough to need structure, while still requiring interpretive judgement.
How does SAM help with large qualitative corpora?
SAM creates multiple analysis views and keeps source rows reachable so researchers can move between overview and evidence.
Can SAM compare different datasets?
Yes. SAM includes comparison workflows for placing analysed corpora side by side.
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.
Start free trial