Use Cases
The moments when 4,000 voices need to speak clearly.
Open-ended responses are richest when stakes are highest and volume is hardest to manage by hand. Pulse surveys, exit interviews, 360 cycles, town halls: these are the moments where manual reading breaks down first.
Pulse surveys: signal without the slog.
Quarterly pulse programs generate hundreds of open comments alongside the rating items. Most organizations read a sample, apply keyword counts, or skip the open-ended data entirely because the volume is unmanageable by hand.
AskHumans processes every response. It surfaces the 5-7 themes that actually dominate the open-ended field, each with a stakeholder weight showing which parts of the organization cluster most densely around that concern. The result is a digest your leadership team can read before their post-survey discussion, not a spreadsheet they hand to an analyst for three weeks.
Exit interviews: the unfiltered view most companies never read.
Exit interview transcripts are consistently the most candid employee text an organization collects and the least analyzed. The interviews happen, the notes get filed, and a departure reason gets coded into a dropdown category. The actual language about what drove the departure sits unread.
AskHumans clusters departure themes across your exit interview text and weights them by role and tenure band, so you can see whether the concerns that appear in departing senior individual contributors overlap with those cited by mid-level managers, or whether they are structurally distinct problems requiring different responses.
360 feedback: beyond the score distribution.
Written 360 comments cluster differently by reviewer role. What direct reports write about a manager rarely surfaces in the peer feedback or upward feedback for the same person. Score distributions obscure this: a 3.8 average looks the same whether it reflects widespread mild concern or a split between strong advocates and concerned critics.
AskHumans surfaces the stakeholder-split themes in your 360 text data. HR and talent development teams can see which developmental themes appear only in direct-report feedback, which appear across all reviewer groups, and where the perception gap is largest by organizational layer.
Town hall Q-and-A: turning audience questions into leadership agenda.
Pre-town-hall question submissions collect hundreds of questions from across the organization. Internal communications teams typically read through manually or sort by vote count, which amplifies whichever questions got shared in popular Slack channels rather than reflecting the full distribution of concern.
AskHumans clusters the question submissions by semantic topic and weights them by department before the event. The communications team gets an agenda structure built from actual question density, not virality; with the themes most relevant to engineering separated from those most relevant to sales and operations.
Your survey data deserves a closer read.
Tell us which survey type you run and we will show you what the clustering output looks like on that data format.