Skimle for HR & people teams
Understand what your people are actually telling you
Employee engagement surveys, exit interviews, onboarding feedback, and pulse checks all produce open-ended text. HR teams collect this data carefully, and then struggle to do it justice. Reading through hundreds of comments manually takes days. Sentiment scoring loses the nuance. The result is that the richest part of the feedback — the qualitative “why” behind the scores — rarely drives the decisions it should.
Skimle reads every comment systematically, surfaces the themes that actually matter to your workforce, and links every finding to the exact employee language that supports it. You get a structured picture of what is working, what is not, and where action is needed — without spending weeks in spreadsheets.
From open text to people insights — without the manual analysis
Whether you are processing 800 engagement survey comments, 40 exit interview transcripts, or the results of an organisational culture assessment, the analytical challenge is the same: too much text, too many themes, not enough time. Skimle handles the analysis systematically so HR teams can focus on what to do with the findings.
- Analyse open-ended survey responses, interview transcripts, and written submissions
- Surface themes across teams, tenure bands, locations, or any other HR metadata
- Run AI-assisted interviews for exit, onboarding, and pulse feedback at scale
- Full confidentiality — EU-hosted, GDPR-compliant, never used to train AI models
- Every finding linked to verbatim employee language
- Export structured reports for leadership, boards, or action planning
WHAT ARE YOUR PEOPLE ACTUALLY SAYING BEHIND THE SCORES
Understand employee engagement deeply via open text responses
Engagement surveys produce hundreds of open-ended comments that explain the scores — but most HR teams end up sampling or skimming them, and the important signals about specific teams, managers, or working conditions get missed. Skimle reads every comment and builds a structured theme hierarchy, linking each theme to the actual employee language so HR leadership has the evidence to act on.
How it works
- 1. Export and upload survey responses
Import open-ended responses as CSV or Excel export from your survey platform. Include metadata columns — team, tenure, location, manager — for segmentation.
- 2. Run the analysis
Skimle reads every comment and builds a theme hierarchy from the content. No sampling — every response contributes to the findings.
- 3. Segment by team or demographic
Filter findings by any metadata variable — team, location, tenure band, function. See which themes are organisation-wide and which are concentrated in specific groups.
- 4. Verify the evidence
Click any theme to read the supporting quotes. Every finding is grounded in what employees actually wrote — not what the analyst inferred.
- 5. Present to leadership
Export a structured engagement brief in Word or PowerPoint — themes, supporting quotes, and team-level breakdowns ready for the leadership team or board.
ACROSS THE FULL EMPLOYEE JOURNEY
Run targeted feedback programmes across the employee journey
Exit interviews, onboarding check-ins, 30/60/90-day reviews, pulse surveys, and stay interviews all generate qualitative signal that most people teams lack the capacity to analyse properly — so it gets summarised away or skipped entirely. Skimle Ask runs AI-assisted interviews at any stage of the employee journey without scheduling overhead, and returns responses already analysed with themes surfaced and verbatim quotes attached. Run the same programme repeatedly and Skimle lets you track how sentiment and themes shift over time.
How it works
- 1. Design the interview guide
Write your core questions — reasons for leaving, role experience, manager feedback, suggestions. Skimle Ask uses these to guide each conversation, probing where respondents give substantive answers.
- 2. Share with departing or new employees
Send the interview link by email at the point of departure or onboarding. Employees complete it at their own pace — no scheduling required, no HR time in the room.
- 3. AI conducts the conversations
Each employee gets a personalised conversation. The AI asks follow-up questions and handles sensitive topics with appropriate care, capturing nuance that closed surveys miss.
- 4. Responses are analysed as they arrive
Skimle structures responses into themes continuously. By the end of a departure cycle, the exit analysis is already done.
- 5. Export for action planning
Generate a structured exit analysis with themes and representative quotes — ready to present to the CHRO or leadership team.
SURFACE WHAT THE CULTURE SURVEY NUMBERS CANNOT TELL YOU
Dig deeper into culture and transformation
Culture assessments and transformation programmes surface fears, resistances, and day-to-day realities that engagement scores never capture — but the patterns that explain why an initiative is stalling are buried in how people describe their experience, not in the headlines. Skimle analyses focus group transcripts, interview recordings, and open-ended responses to surface recurring themes, map where parts of the organisation diverge, and preserve minority voices the headline findings would otherwise suppress.
How it works
- 1. Gather data from all sources
Upload focus group transcripts, interview recordings, and survey responses into one project. Skimle handles mixed formats and multiple languages.
- 2. Run analysis across the full corpus
Skimle reads every submission and builds themes from the content — not from a sample or a pre-set codebook. Themes emerge from what people actually said.
- 3. Identify where the organisation diverges
Compare themes across teams, levels, or geographies. Where do senior leaders and frontline staff describe the same situation completely differently? Those divergences are usually the most important findings.
- 4. Preserve minority and dissenting voices
Two-way transparency means no finding disappears into an average. You can see which themes are universal and which represent a minority experience that the headline findings would otherwise suppress.
- 5. Build the transformation brief
Export a structured report with theme analysis and verbatim quotes organised by group — ready for the culture steering committee or transformation programme board.
FAQ
Frequently asked questions
- Is employee feedback data handled confidentially?
- Yes. All data is stored on EU-based servers, is GDPR-compliant, and is never used to train AI models. Skimle provides Data Processing Agreements for organisations with specific compliance requirements. Individual employee responses are not identifiable in the analysis output unless you choose to include identifying metadata.
- Can Skimle help us analyse feedback in multiple languages for a global workforce?
- Yes. Skimle supports 100+ languages and can analyse feedback from employees across countries in a single project. Themes are unified across languages — so an issue raised in Finnish, German, and English comments will surface as one theme, not three separate ones.
- How is Skimle Ask different from our existing pulse survey tool?
- Survey tools collect structured answers to fixed questions. Skimle Ask conducts a conversational interview — asking follow-up questions based on what each employee says, the way an experienced HR professional would in a one-to-one conversation. You get qualitative depth at scale.
- Can we track how engagement themes evolve over time?
- Yes. Run the same analysis across consecutive survey cycles and compare how the theme structure changes. Skimle makes it straightforward to see whether a specific issue is improving, worsening, or shifting in character over time.
- How do we present findings to leadership without exposing individual responses?
- Skimle's output is a theme structure with representative quotes — not a list of who said what. You choose which quotes to include in your report. Individual responses remain within the platform and are not surfaced in exports unless you specifically choose to include them.
- How long does analysis take for a large engagement survey?
- A set of 500 to 800 open-ended survey comments is typically processed in less than an hour. A set of 30 exit interview transcripts takes maybe ten minutes. You upload, start the analysis, and come back to a structured theme view.
About Skimle
Built for professionals, by professionals
Skimle is based in Finland and trusted by HR teams, government bodies, universities, and consulting firms who need to take qualitative feedback seriously. All data is stored within the EU with full GDPR compliance. We are happy to discuss enterprise licensing, team plans, and data processing arrangements for large organisations.
All data is stored within the EU and processed according to our strict GDPR policy and terms of service.
Want to learn more? Explore our Signal & Noise blog, our FAQ, and use cases by sector. We are also happy to demo the product or explore how Skimle could fit your needs.