Upload a wall of open-text course-survey responses and ask what they say. Joy reads them and returns a written analysis with inline charts: overall sentiment, the main themes ranked by mention, and a few representative comments you can act on.
Summarize the [500+] open-text responses from our [Leadership Essentials] course surveys: overall sentiment, the main themes, and representative comments.
An illustrative example. Your output will reflect your own sources, data, and prompts.
I read all 512 open-text responses in the upload. Sentiment leans strongly positive, the facilitator is the standout, and the constructive feedback points at two specific fixes, all below.
I read all 512 open-text responses from the Leadership Essentials surveys. Overall sentiment is strongly positive: 64% positive, 22% neutral, and 14% negative. Most of the negative and neutral comments are constructive rather than unhappy, and they point at two specific fixes.
Facilitation is the standout strength. Sorting the comments into recurring themes, praise for the facilitator is the single most-mentioned point by a wide margin, and the constructive notes cluster tightly around pace and how concrete the material felt.
Main themes by mention count (out of 512)
The counts tell a clear story. Great facilitator came up in 187 responses, the dominant positive theme. The main constructive theme is pacing too fast at 96 mentions, closely tied to a want for more real examples at 83 and too much theory at 61. Platform or login glitches trail at 38 mentions, a small but easy fix.
A few representative comments, paraphrased and anonymized:
The takeaway: keep the facilitator, that is your biggest asset here. Address the constructive themes by adding worked, real-world examples and a little breathing room to the densest modules, which covers pacing, the ask for examples, and the too-much-theory note in one move. Separately, fixing the platform or login issue behind those 38 mentions is a quick win that would lift the 14% negative share on its own.
Want me to pull every comment that mentions pacing grouped verbatim, or compare sentiment between the two most recent cohorts?
The Survey Analyzer recipe reads the open-text responses you upload to the Knowledge Center and returns a written analysis: overall sentiment as a split, the main themes ranked by how often they came up, and a handful of representative comments. It is an on-demand read of the responses you provide, delivered as text in chat with inline charts, not a standing dashboard.
Add the open-text survey responses to the Knowledge Center, whether that is an export from your survey tool or a pasted block of comments.
Ask Joy to summarize the responses: overall sentiment, the main themes, and representative comments. Joy reads the whole set, not a sample.
Joy returns a written read with inline charts, a sentiment split and themes ranked by mention count. The numbers in the prose match the charts.
Copy the read, the counts, and the representative quotes into your course debrief or facilitator feedback. Joy drafts the analysis; you share it. Nothing is exported or sent for you.
Save this ask as a custom command on the assistant your team already uses, so anyone can run it in one step.
Splits the responses into positive, neutral, and negative so you see the mood before the detail.
Groups the free text into recurring themes and ranks them by how many people raised each one.
Surfaces a few paraphrased, anonymized quotes that stand in for each pattern, ready to quote in a debrief.
Ends with what to keep, what to fix, and where to start, not just a list of counts.
Pull every comment on a single theme, like pacing, grouped verbatim so you can read the raw voice.
Ask Joy to compare sentiment and themes between two courses or the two most recent cohorts.
Focus the read on comments about the facilitator so you have specific, quotable notes to share.
Ask for just the constructive comments, grouped into a short list of concrete changes to make.
No. It is an on-demand read of the responses you provide. When you ask, Joy reads the open-text responses you have uploaded and returns a written analysis with inline charts for that moment. There is no standing board that refreshes on its own.
Joy reads the full set you upload rather than a sample. In the example it reads all 512 responses and tallies the themes across every one, so the counts reflect the whole pile, not the first page.
Always. The sentiment split and theme counts in the prose are the same figures shown in the inline charts, so you can quote either the 64% positive share or the 187 facilitator mentions without reconciling them.
They are paraphrased and anonymized. Joy surfaces a few comments that stand in for each pattern, reworded so no individual learner is identifiable, so they are safe to share in a debrief.
No. Joy drafts the analysis in chat; you copy it into your course debrief or facilitator feedback and share it yourself. Joy does not export files or send anything on your behalf.
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