Faster decisions come from cleaner data. Cleaner data comes from smarter tools. This quarter, we focused on the gaps that slow teams down. The partial responses you lose, the sensitive fields you have to manage manually, the dashboards that can’t quite show what you need. These nine updates give your team less friction and more firepower, from sensitive field enforcement to sharper AI insights.

Go global and save responses before they’re done

11 new languages, ready to use.
Armenian, Somali, French (Canadian), Ukrainian, Slovenian, Romanian, Lithuanian, Latvian, Hungarian, Estonian, and Croatian are now fully translated inside your projects. That means questions, answers, and system text all available in your chosen language, out of the box.

Auto Save partial responses from public link.
Unique links have always saved partial responses. Now you can get the same from public links. Turn on the Save Continuously toggle for any shareable URL (QR code, social media, embed). Each time someone clicks Next, we save their answers. If they go idle for 5 minutes, we auto-save the page they’re on. You keep data from people who don’t finish. For high-traffic public surveys, that can be a significant amount of insight you were previously losing.

Lock down sensitive data without extra work

Sensitive fields are restricted from unauthorized users

Mark a directory field as sensitive. From that moment on, anyone without permission cannot view data in those fields. Users without permissions cannot select, edit, or filter by sensitive fields, whether they’re building a survey (QDL, piping) or viewing a shared dashboard. One setting, consistent enforcement. No need to audit every touchpoint yourself.

Delete dashboard recipients instantly.
Cleaning up your recipient list no longer means reworking your rules. Someone leaves the company or moves to a different team? Hover over their name in the shared dashboard table, click delete. Their unique access link dies immediately. They stop receiving automated emails. No need to rebuild rules, just edit segment mappings directly to add or modify who sees which data.

Get your charts and raw data in one export

Export Dashboards to Excel.
Export an entire dashboard to a single Excel file. You get the visual summaries and the full raw data behind them. No more exporting charts separately, then hunting for source data.

Every response with full context, not just open-ended text.
The old “Open-Ended Widget” is now the Raw Response Widget. Add any question type (except attachments and signatures) to a custom dashboard grid.
Then add up to 100 identifiers – respondent fields (name, department, ID), feedback recipient (who was evaluated), or activity fields (which trigger). Drag to reorder. Context that used to require a separate report is now right there on the dashboard. Now you can see: “This comment came from Jane in Marketing, about the Q3 campaign, and she rated it 4 stars.”

Filter your dashboard instantly using tags

Tag-based dashboard filters.

Apply a tag filter at the top of any dashboard. Every widget on that page updates instantly, charts, tables, scores, everything. If your team already uses tags to organize feedback by department, region, or site, this turns them into a powerful real-time lens.

Apply sentiment and topics to just the questions you pick

NLP filters on selected questions only.

When filtering dashboards by NLP conditions like Themes or Emotions, you can now pinpoint the questions where the theme occurs to make the analysis more contextual. For example, show NPS for customers who responded with “frustration” to “Q4: How was your branch experience?” Instead of broad sentiment across the entire survey, you get targeted insight tied to specific moments.

NLP widgets on dashboards and journey stages.

Now you can add sentiment trend lines, word clouds, and overall sentiment scores directly to any custom dashboard. No separate tool, no export. It’s all in the same view your team already uses.

Each stage in Customer and Employee Journeys now shows sentiment, themes, and emotions from NLP, layered directly onto your journey map. So instead of just knowing that satisfaction drops at Stage 3, you can see why it drops: what people are saying, what emotions are surfacing, and what themes keep coming up. Journey stages can now map directly to activities and the responses they generate, so your journey map reflects real interactions, not assumptions.

All of this comes down to one thing: removing the friction between data and decisions. Whether it’s capturing insights you used to lose from partial responses, controlling access without extra effort, or getting sharper insights from AI, these updates are built to help you move faster without compromising control. Because when your tools work the way your team thinks, better decisions stop being a goal and start becoming your default.