📢 Changelog – Fresh Features & Fewer Bugs (Hopefully)
Ah, updates - like taxes and awkward Zoom calls, they’re inevitable. But at least ours are more fun, come with fewer surprises and (hopefully) more fixes. Here’s where you’ll find what’s new, what’s improved, and what we accidentally broke (but promptly fixed). So grab a coffee, take a deep breath, and dive into the wonderful world of feedback evolution - one update at a time.
Insights-Chat just got a serious upgrade. It no longer just answers questions — it now walks you through your data like a true analyst would.
Here’s what’s new:
1️⃣ Context first – Every answer starts with a solid basis: context, underlying data points, and why they matter.
2️⃣ Quantitative insights – See the numbers, metrics, and trends behind the story.
3️⃣ Qualitative insights – Understand what customers are actually saying, surfaced down to the verbatim level.
4️⃣ Visual support – Charts and graphics illustrate the findings, making complex points easy to digest.
5️⃣ Next-step guidance – Insights-Chat now even suggests what you should analyze next, helping you dig deeper without losing momentum.
🚀 The result: a conversation that feels less like querying a tool and more like collaborating with a data analyst.
Valuable insights start with rich data. That’s why we built a powerful data enhancement feature — think Excel at scale, supercharged by LLMs. With Smart Columns, you can now:
🤖 Use LLMs to apply a prompt to each row (e.g.: Extract structured insights like product names or brands) from free-text feedback, fix spelling mistakes) ✨ Map values from one column to another (e.g.: Transform scales to scores)
🧮 Run formulas across existing columns (e.g.: Merge likes & dislikes)
Your new columns update automatically whenever source data changes — no manual edits required.
Whether you're standardizing formats or using AI to tag content, Smart Columns do the heavy lifting.
🔍 Try it out via the “Smart Columns” section in your side bar navigation.
Our ecosystem just got bigger! You can now connect Caplena with:
Medallia – Voice of Customer insights
Alchemer – (formerly SurveyGizmo) survey feedback
Indeed – Candidate & employee experiences
Glassdoor – Employer brand perception
These integrations are currently in beta — meaning they’re fresh, functional, and still evolving. But you can already start pulling in open-ended feedback from these platforms directly into your Caplena projects.
Ever wished you could rewind your topic changes? Now you can!
🔁 Jump to any point in time — See exactly how your topics and assignments looked
👀 Review detailed change logs — Know what was reviewed, added, updated, or removed
🧩 Restore with confidence — Bring back a previous version in one click if things go sideways
This is perfect for cleaning up messy edits, testing new codebooks, or simply giving your team peace of mind. Your topic timeline is now in your control.
Uploading a topic collection from file? You can now optionally include a description column for each topic.
😌 Simply choose the column in the dropdown when uploading your file. These descriptions help explain the meaning or intent behind each topic, and are visible throughout the platform.
Cleaning up your topic list just got easier. You can now see the number of mentions per topic in the Topic Assistant’s table view. Sort by count to quickly spot low-volume topics. Perfect for finding outliers!
✨ Bonus: Easily bulk-delete underperforming topics in one go. Less noise, more clarity.
Ever wonder which topics are frequently mentioned together — and how strongly they're linked? The new Topic Correlation insight element helps you spot these patterns at a glance.
See top topic pairs and their correlation strength
Explore connections visually via an interactive chord diagram
And the best part? AI explains why two topics are connected — so you don’t just see what’s linked, but also understand the reason behind it.
Whether you're uncovering hidden relationships or streamlining your analysis, this view makes complex connections simple (and beautiful).
We know not every score needs a timeline. Whether you're working with star ratings, CSAT, NPS, or any other numeric scale, sometimes you just want a clean, at-a-glance breakdown without the clutter of time trends.
The new Generic Score without Time IEis a simple and powerful way to segment scores and instantly see what’s driving satisfaction (or frustration).
🧠 What’s inside:
Segmented Score Buckets
Group responses into buckets (e.g. 0–6, 7–8, 9–10) with full control over how you define the ranges.
Fully Customizable
Use your own score column, define the number of buckets, tweak bucket ranges, and choose your metric (e.g. Average, NPS-style).
Auto-Generated Bucket Summaries
Caplena automatically summarizes the top drivers for each score range. No more guesswork, see what’s pushing numbers up (or dragging them down) at a glance.
Tired of jumping between views to narrow down your data? We’ve revamped and unified filters across the entire Caplena platform—so filtering is now smoother, smarter, and more consistent than ever:
🧩 Filter by Topics & Categories
Pinpoint themes or topic sets right within your reports—no need to switch between Topics and Reports view.
🔢 New Smart Numbers Filter
Need to look at scores, ratings, or counts? Our smart numeric filter lets you quickly slice data by exact values or ranges.
📅 Two Great Date Range Filters
Static Range (e.g. Jan 1–Mar 31, 2025)
Rolling Range (e.g. Last 7 days, Last quarter) Perfect for trend analysis without manual date entry.