Skimle for customer, UX & market researchers
Every respondent heard. Every insight traceable. Every deadline met.
Whether you run an in-house customer or UX research function, or deliver insights for clients at a market research agency, the core challenge is the same: qualitative data is the richest signal you have, but the volume is too large to analyse carefully by hand. In-house teams face pressure to move at the pace of product decisions. Agencies face clients who want deeper insights on shorter timelines at lower cost.
Skimle handles the mechanical coding that consumes 80% of analyst time. You focus on the strategic interpretation, the “so what”, and the decisions it should drive. What used to take two weeks of coding takes two days with Skimle — without losing the nuance that makes qualitative research worth acting on.
Professional-grade analysis that scales with your research volume
Whether you are analysing 60 customer interviews, 8 focus groups across four markets, or 5,000 NPS verbatims, the challenge is the same: the volume is too large for careful manual reading, but surface-level tools lose the nuance stakeholders and clients care about. Skimle scales without sacrificing depth, for both in-house teams and agency researchers.
- Handles interviews, focus groups, open-ended surveys, reviews, and support tickets
- Every theme linked to verbatim customer quotes, from the full dataset, not a sample
- Segment analysis built in: compare across demographics, product tiers, geographies, NPS bands
- 100+ languages in one project, no translation step required
- Presentation-ready exports to Word, PowerPoint, and Excel in minutes
- Full traceability, so you can show exactly where every insight comes from
FROM RAW CONVERSATIONS TO DEFENSIBLE FINDINGS
Analyse focus groups and customer interviews at scale
Focus group transcripts are among the hardest qualitative data to analyse well. Crosstalk, dominant voices, and manufactured consensus can mislead: one vocal participant looks identical to four independent voices unless you track the evidence. Depth interviews bring their own problem, because at 20, 40, or 60 transcripts consistent coding becomes the bottleneck. Skimle builds a systematic theme structure across every session, showing what is consistent, what varies by segment, and what is one participant's outlier view, so your findings hold up in front of a client or a stakeholder.
How it works
- 1. Import each session as a document
Upload transcripts or recordings from Zoom, Teams, Otter, or Fireflies. Skimle transcribes audio and video directly, so each session becomes one document ready to analyse.
- 2. Run analysis across all sessions
Skimle reads every transcript and builds themes from the content across all sessions. It discovers what was actually discussed rather than forcing a preset codebook.
- 3. See what was consistent and what varied
Each theme shows which groups contributed to it and how often it was raised, so you can separate the universal signal from a single session or market.
- 4. Assess the evidence distribution
Click any theme to read the supporting quotes and see which sessions they came from. Judge dominant voice effects directly rather than from memory.
- 5. Export for the client
Generate the synthesis document with representative quotes by group, ready for the presentation or the full research report.
FROM A FOLDER OF REPORTS TO A STRUCTURED INTELLIGENCE PICTURE
Distil desk research and secondary reports
Most studies mix primary data with secondary material: competitor sites, analyst reports, regulatory filings, news archives. Synthesising it by hand means either days of reading or defaulting to the few sources that spring to mind. Skimle reads every document, surfaces recurring themes, maps where sources agree and contradict, and links every finding to its original passage, turning a folder of PDFs into an analysed intelligence picture.
How it works
- 1. Gather and upload your sources
Upload PDFs, Word files, and web content exports — analyst reports, competitor materials, regulatory documents, news archives. Mix them freely with interview data in the same project.
- 2. Define what you are looking for
Frame the synthesis around your strategic questions — market dynamics, competitive positioning, regulatory landscape. Skimle organises findings around your framework.
- 3. Surface patterns across sources
Skimle builds a theme structure across all documents — identifying where sources agree, where they contradict, and what the weight of evidence supports.
- 4. Cross-reference with primary data
When desk research and interview data sit in the same project, you can see where secondary sources validate primary findings — and where they diverge. Contradictions are analytically productive.
- 5. Deliver an integrated synthesis
Export a structured report that integrates desk research and primary findings with full source references — defensible and client-ready.
WHICH THEMES MATTER TO WHICH CUSTOMERS?
Discover patterns across segments
A single overall theme list rarely answers the real question: who feels this way, and how does it differ by segment? With thousands of open-ended responses, most teams skim a sample and lose the minority views that carry the sharpest signal. Skimle reads every response and lets you slice the same theme structure by any metadata variable — NPS band, product tier, geography, demographics — turning qualitative depth into a mixed-methods view you can act on.
How it works
- 1. Upload responses with metadata
Import open-ended responses as a CSV from SurveyMonkey, Typeform, or Qualtrics, and include respondent metadata columns so every answer carries its segment.
- 2. Build the full theme structure
Skimle codes every response into a hierarchy of themes — not just the most common ones, so minority viewpoints stay visible.
- 3. Segment by any variable
Filter and compare themes by NPS band, product tier, geography, or demographics to see which issues matter most to which customer groups.
- 4. Verify the evidence
Every pattern traces to verbatim quotes, so a difference between segments is backed by the exact responses that produced it.
- 5. Export client-ready output
Generate a themed report with verbatim quotes and cross-tabulations — in minutes rather than days.
FAQ
Frequently asked questions
- How does Skimle help us compete with low-cost alternatives?
- Low-cost providers compete on price with surface-level analysis: word clouds and basic theme lists. Skimle lets you deliver deep, strategic insight at speed, so you differentiate on value rather than rate card. The quality of the "so what" is where professional research firms win, and Skimle frees your analysts to focus on exactly that.
- What if clients question AI-assisted analysis?
- Frame it as AI-assisted human analysis: the AI handles mechanical categorisation, you provide the interpretation and recommendations. Skimle's full traceability lets you show clients exactly where every insight comes from, which is stronger than manual synthesis where the coding logic stays invisible.
- Can we use this for multi-language global studies?
- Yes. Skimle analyses 100+ languages natively, without translating first. Upload responses in English, Spanish, Mandarin, German, and Arabic in one project, and Skimle builds a unified theme structure across all of them while preserving original-language quotes.
- How many interviews or responses can Skimle handle?
- Skimle supports up to 1,000 documents per project — covering small qualitative studies of 20 to 50 interviews through to large global studies of hundreds of interviews or thousands of survey responses. If you regularly run studies at the upper end, contact us to discuss volume arrangements.
- Is client data secure and confidential?
- Yes. All data is stored on EU-based servers in compliance with GDPR and is never used to train AI models. Skimle provides Data Processing Agreements and supports NDAs for client data. Single-tenant deployments are available for stricter data sovereignty requirements.
- Can multiple researchers collaborate on a project?
- Yes. Teams work on the same project simultaneously, with individual edits and annotations preserved. This suits peer review, quality control, and splitting large projects across junior and senior researchers, with one senior researcher steering the analysis.
About Skimle
Built for professionals, by professionals
Skimle is based in Finland and developed by people who have spent careers doing qualitative analysis under real professional pressure. We built Skimle because we needed it ourselves — and because the existing tools were either too slow, too shallow, or too opaque to defend to a client.
We are trusted by research firms, agencies, Finnish government ministries, over 30 universities, and large companies. All data is stored within the EU and processed according to our strict GDPR policy and terms of service.
For research firms interested in white-label arrangements, enterprise licensing, volume pricing, or reseller agreements, get in touch. We are happy to discuss firm-wide arrangements and custom deployments.