AskHumans clusters thousands of free-text survey responses into themes your leadership team can actually decide from.
Most employee listening programs produce far more text than any HR team can process. A quarterly pulse survey at a 600-person company generates 400-800 open-ended comments. The standard approach, keyword tallying or manual theming by an analyst, flattens what those comments say. "Management" appears 87 times, but whether that means clarity, trust, or workload depends on reading the sentences, not counting the word.
People analytics teams spend days in spreadsheets reaching conclusions that reflect who wrote most, not who is most affected. A concern raised by every individual contributor in one department reads the same as a concern scattered across 3% of the whole company, unless the weighting accounts for it. AskHumans processes every response, groups by semantic meaning, and surfaces themes scored by the respondent groups most concentrated around each issue.
Upload a CSV export or connect via API from Qualtrics, Culture Amp, or any survey platform that outputs open-ended responses.
AskHumans embeds every response at the sentence level and groups them by meaning, not keyword frequency. Similar concerns cluster together regardless of how they are phrased.
Each theme is scored by which respondent groups, broken down by role, department, and tenure, cluster around it most densely. On Monday morning, leadership sees not just "career progression came up often" but "career progression is raised by 78% of individual contributors and almost no one above manager level."
The clustering engine processes complete response text at the sentence embedding level. Two responses that use entirely different words but describe the same organizational issue will group together correctly.
Every theme carries a breakdown of which respondent groups, sliced by role, department, and tenure band, are most concentrated within it. Flat response counts do not tell you this.
Growth plan handles quarterly pulse surveys and annual engagement cycles for mid-to-large organizations without requiring manual pre-processing or response sampling.
Deliver the weighted theme summary as an executive PDF, a full CSV mapping each response to its theme cluster, or push the top themes directly to a Slack or Microsoft Teams channel after processing completes.
Quarterly pulse programs generate hundreds of open comments that current tooling cannot meaningfully process. AskHumans surfaces the themes that actually move across the organization, not just the ones mentioned most often.
How it worksExit interview text is the most honest signal an organization collects, and the most consistently ignored. AskHumans clusters departure themes and weights them by role and tenure so patterns become visible before they become expensive.
How it worksWritten 360 comments cluster differently by reviewer relationship. AskHumans separates peer, manager, and direct-report signal and surfaces the themes that appear consistently across relationship types versus those that are role-specific.
How it works
Zak has focused his career on the gap between what survey platforms collect and what people analytics teams can actually use, specifically on the product and systems side of open-text processing. He works at the intersection of workforce analytics and decision design.
Miriam's work spans qualitative research methodology and HR technology product design, with particular focus on how internal communications platforms surface or suppress employee signal. She brings the practitioner lens to every product decision, grounded in how listening programs actually run in organizations.
Tariq specializes in natural language processing and text classification at scale, with deep experience in topic modeling architectures for organizational corpora. He has spent several years building sentence-level embedding systems and clustering pipelines that handle the noise and domain-specificity of workplace language.
We are working directly with a small group of HR and internal comms teams. Bring a real survey export; we run the clustering together. No demos, no commitment.