Response Sentiment
Response Sentiment helps you scan open-text feedback by tone. Pulseahead can label written answers as positive, neutral, or negative when AI auto-tagging is enabled for your project.
Use sentiment when you want to find urgent feedback faster, compare the tone inside a theme, or focus a review session on responses that need follow-up.
How sentiment works
Section titled “How sentiment works”Sentiment is applied to Long Text answers. Short scores like NPS and ratings already have their own analytics, so sentiment focuses on the written context behind what users said.
Pulseahead uses these labels:
| Label | What it means |
|---|---|
| Positive | The response sounds clearly positive, like praise, satisfaction, relief, or a good outcome. |
| Neutral | The response feels factual, mixed, or non-emotional. Most requests are neutral unless frustration is clear. |
| Negative | The response sounds clearly negative, like frustration, confusion, disappointment, risk, or a bad outcome. |
| No sentiment | A sentiment label has not been added yet (still processing, AI auto-tagging is off, or confidence is low). |
Pulseahead only uses positive, neutral, and negative as sentiment labels. It does not create custom sentiment categories. Sentiment may be missing when a response has not been processed yet, when AI auto-tagging is turned off, or when Pulseahead does not have enough confidence to assign a label.
Turn on sentiment
Section titled “Turn on sentiment”Sentiment is added through AI auto-tagging.
- Open Project settings.
- Find AI auto-tagging.
- Turn the switch on.
- Click Save.
For the full setup flow, see Response Tags. AI auto-tagging can apply both sentiment and your approved response tags to new open-text answers.
Where sentiment appears
Section titled “Where sentiment appears”In the Response Feed, sentiment appears next to open-text answers when a label is available. Use the Sentiment filter to show positive, neutral, negative, or no-sentiment responses.
In Survey Analytics, Long Text questions include a sentiment breakdown. The tag breakdown also shows the sentiment mix inside each response tag, so you can see whether a theme is mostly negative, neutral, or positive.
How to use sentiment
Section titled “How to use sentiment”- Filter for Negative feedback after a launch to find friction quickly.
- Filter for Positive feedback when collecting testimonials or product proof points.
- Use No sentiment to find open-text answers that still need processing or review.
- Combine sentiment with Response Tags to answer questions like “Which pricing comments are negative?” or “Which onboarding comments are neutral?”
Related docs
Section titled “Related docs”- Response Feed for filtering individual responses by sentiment.
- Survey Analytics for sentiment and tag breakdowns inside one survey.
- Response Tags for creating tags and turning on AI auto-tagging.