Professional-grade qualitative analysis at scale
Skimle helps market research professionals analyze customer interviews, open-ended feedback, and qualitative data at scale. AI handles the categorization and mechanical coding. You focus on strategic recommendations and client value.
Professional-grade analysis that delivers speed AND depth
What takes weeks of manual coding takes days with Skimle—without sacrificing the nuance clients expect.
- Upload diverse data sources — Customer interviews, focus group transcripts or videos, open-ended survey responses, social media comments, online reviews, support tickets—all in one project
- Automated theme identification — Upload your data, get comprehensive themes and sub-themes in minutes. Every insight links to verbatim customer quotes.
- Taxonomy you control — Merge, split, rename categories to match your research framework or client's business structure. Start with AI suggestions, refine to your client's needs.
- Segment analysis built-in — Compare themes across customer segments (demographics, product users, regions, NPS categories). Identify where different groups diverge.
- Navigate complex datasets — Intuitive spreadsheet view to see all responses and themes at once, with AI chat to surface specific insights or patterns
- Client-ready exports — Generate presentation-ready summaries, theme reports with supporting verbatim quotes, and cross-tabulations in minutes instead of days
- Works in 100+ languages — Run global studies without translation delays. Analyze responses in original language while creating unified theme structures.
- Full traceability — Every conclusion traces to specific customer quotes. When clients challenge findings, show exactly where insights come from.
Built for professional research firms
Skimle helps you compete on value, not just price:
- Faster turnaround = more projects: What used to take 2 weeks now takes 2 days. Take on more clients without hiring more analysts.
- Scale without sacrificing depth: Handle 500-interview global studies with the same rigor as 20-interview exploratory research.
- Standardized quality: Junior researchers get AI-assisted first pass; senior researchers focus on strategic interpretation and recommendations.
- Preserve the nuances: Unlike simple sentiment analysis or word clouds, Skimle captures contradictions, minority viewpoints, and contextual meaning that drive breakthrough insights.
What takes weeks manually takes days with Skimle—delivering both the speed clients demand and the depth they expect.
Try for free as an individual, or contact us to discuss research firm partnerships and enterprise licensing.
The reality of market research today
Market research firms face mounting competitive pressure:
- Client turnaround pressure: Clients expect insights in days, not weeks. "We need this for the Monday board meeting" means your weekend is gone.
- Commoditization squeeze: DIY tools and offshore alternatives are driving prices down. You need to differentiate on speed AND depth, not just one.
- Scaling across markets: That global brand study needs analysis of 500 customer interviews across 12 countries. Manual coding would take months and cost more than the project budget.
- The insight gap: Clients don't want raw themes—they want "so what?" and "now what?" But you spend 80% of time on mechanical coding instead of strategic thinking.
- Proving ROI: Clients question research spend. You need to show clear, actionable insights—but surface-level word clouds won't cut it.
- AI slop: Clients can make a first pass with AI, they don't want you to do the same and send a big bill. Use AI to improve not reduce quality of the answer.
Skimle addresses these challenges with professional-grade analysis:
- Systematic processing handles the mechanical work — freeing researchers for strategic thinking
- Standardized methodology: Consistent quality across projects and team members
- Full traceability: Every insight links to supporting customer quotes
- Rapid first-pass analysis: What takes weeks can be structured in days — then researchers focus on interpretation and recommendations
Using AI in market research
Frame it as "AI-assisted human analysis"—the AI handles mechanical categorization, you provide strategic interpretation. Skimle's full traceability means you can show clients exactly where every insight comes from. Most clients care about quality and speed, not the tools used.
Leading research firms are already using AI to improve efficiency while maintaining research quality. Skimle gives you the transparency and depth that differentiates professional research from automated tools.
How market researchers can use Skimle
Customer Interview Analysis
Conduct 60 B2B customer interviews exploring purchase decisions. Skimle identifies decision criteria, pain points, competitive perceptions, and buying process insights—organized by customer segment. Deliver strategic recommendations to client in days, not weeks.
NPS & Open-Ended Survey Analysis
Analyze 5,000 NPS comments from quarterly customer satisfaction survey. Go beyond "detractors mentioned pricing 47 times." Understand why pricing is an issue, which customer segments care most, and what specifically they're comparing to. Turn data into product and marketing roadmap priorities.
Focus Group Synthesis
Run 8 focus groups across 4 markets testing new product concept. Identify universal themes vs. market-specific concerns. Track enthusiasm levels, spontaneous suggestions, and objections—all organized for easy comparison. Create client presentation with supporting verbatim quotes in hours.
Social Listening & Review Analysis
Aggregate 2,000+ customer reviews from multiple platforms in one analysis. Move beyond star ratings to understand what drives satisfaction and dissatisfaction. Identify specific product features, service moments, and competitive gaps mentioned by real customers.
Brand Perception Study
Interview 40 customers and non-customers about brand perception. Identify unprompted brand associations, emotional drivers, consideration barriers, and competitive positioning. Map perception gaps between target positioning and actual customer understanding.
Concept Testing Analysis
Test 3 product concepts with 30 in-depth interviews. Track initial reactions, rational evaluation, emotional response, and purchase intent drivers—for each concept. Identify which concept elements resonate, which confuse, and why. Deliver recommendation on concept direction with full supporting evidence.
Customer Journey Research
Conduct 50 interviews mapping end-to-end customer journey. Identify pain points, moments of delight, decision triggers, and information gaps at each stage. Organize findings by journey stage and customer segment. Create actionable CX improvement roadmap.
Voice of Customer (VoC) Programs
Ongoing analysis of support tickets, chat logs, and customer feedback forms. Systematically track evolving themes, emerging issues, and sentiment trends over time. Alert clients to brewing problems before they become crises.
Comparison: Choosing your qualitative analysis approach
When evaluating analysis tools for market research, consider your competitive positioning and client needs.
| Manual Analysis | Word Cloud Tools | Dovetail/UX Tools | Traditional QDAS | Skimle | |
|---|---|---|---|---|---|
| Speed | Slow (weeks) | Fast (hours) | Fast | Slow (weeks) | Fast (days) |
| Handles scale (500+ interviews) | No (too costly) | Poor depth | Expensive | Yes | Yes |
| Captures nuance | Yes | No | Limited | Yes | Yes |
| Multi-language support | Manual translation | Limited | Limited | Limited | Excellent (100+ languages) |
| Segment comparison | Manual | No | Good | Manual | Built-in |
| Client-ready outputs | Manual formatting | Limited | Good | Manual | Automated |
| Cost (typical project) | High (analyst hours) | Low | Medium-High | High | Medium |
| Learning curve | None | Minutes | Days | Weeks | Minutes |
| Best for | Small boutique work | Quick summaries | UX research | Academic rigor | Professional research firms |
When to choose manual: Very small studies (under 15 interviews) where personal touch matters more than efficiency.
When to choose Skimle: Any project with 30+ interviews, multi-market studies, tight client deadlines, or when you need both speed AND depth to compete effectively.
When to choose traditional QDAS: If you already have NVivo licenses, trained staff, and clients who don't mind waiting weeks for results.
When to choose word clouds: When you want to look like you analyzed feedback without actually understanding it :)
Scale and capacity
Skimle can handle up to 1,000 documents in a single project. For typical market research:
- Small qualitative studies (20-50 interviews): Optimal
- Medium-scale research (50-200 interviews): Excellent
- Large global studies (200-1,000 interviews): Supported
- Multi-language global research (100+ languages): Fully supported
Need more capacity or white-label options? Contact us for research firm partnerships.
Frequently Asked Questions
How does Skimle help us compete with low-cost alternatives?
Low-cost providers compete on price by doing surface-level analysis (word clouds, basic themes). Skimle lets you deliver deep, strategic insights at speed—differentiating on value. You maintain premium positioning while improving margins through efficiency.
Can we use this for both qual and quant projects?
Skimle specializes in qualitative analysis. For mixed-methods projects, use Skimle for the qual component (interviews, open-ends) and integrate findings with your quant analysis tools. Many researchers find this combination powerful.
What if clients question AI-assisted analysis?
Frame it as "AI-assisted human analysis"—the AI handles mechanical categorization, you provide strategic interpretation. Skimle's full traceability means you can show clients exactly where every insight comes from. Most clients care about quality and speed, not the tools used.
Can we white-label this for clients?
We offer partnership arrangements for research firms. Contact us to discuss white-labeling options, reseller agreements, and enterprise licensing.
How many languages can it handle simultaneously?
Skimle works in 100+ languages. You can analyze a global study with responses in English, Spanish, Mandarin, Arabic, etc.—all in one project. Themes are unified while preserving original language quotes.
Is client data secure and confidential?
Yes. Data is processed securely, not used to train AI models, and we support NDAs and data processing agreements. Research data remains confidential per your client agreements.
Can multiple researchers collaborate on a project?
Yes. Teams can work on the same project, with individual annotations preserved. Useful for peer review, quality checks, and distributing large projects across your research team.
What's your pricing for research firms?
We offer flexible pricing for agencies: per-project licenses, monthly subscriptions, and enterprise agreements. Volume discounts available. Contact us to discuss your typical project volume and find the right model.
Ready to compete on value, not just price?
Upload a sample dataset and see how Skimle turns weeks of coding into days of strategic analysis—with the depth clients expect and the speed they demand.
Try Skimle for free to start analyzing customer data immediately. Individual researchers can begin using Skimle right away.
Contact us for research firm partnerships to discuss white-labeling, enterprise licensing, volume pricing, and reseller agreements. Skimle offers flexible arrangements for market research agencies and consultancies.