Getting started with realistic data just got a lot more flexible. You can now either pick from a curated list of pre-built demo projects — spanning different industries and research types — or generate your own from scratch by describing your use case and letting Caplena create a fully analysed project tailored to it.

Whether you're onboarding a new team, exploring a use case before committing real data, or just want to see what Caplena can do, demo projects are now a first-class way to get there.

Semi-Open mode just got significantly better for large tracking studies like brand trackers.

What's new:

Import keywords directly — You can now import a keyword list into Semi-Open projects, making it much faster to set up and maintain large, structured topic collections.

Increased stability — We've improved how Semi-Open handles large volumes of short-text data, reducing inconsistencies in clustering results.

More configuration options in settings — New controls give you finer-grained tuning over how the algorithm groups and assigns topics, so you can match it to your specific data structure.

New to Semi-Open mode? Learn how it works →

Ask the Insight Agent a question about how Caplena works — it'll answer directly, no need to leave your project and dig through documentation.

You can now filter any column by blank — empty cells are no longer invisible to your filters.

Whether you're tracking down a missing date, a smart column that didn't populate, or a row with an identifier error, just select the "blank" filter and they'll surface instantly. No more hunting through your data manually.

Keep your topic collection in sync across projects — without rebuilding from scratch.

Large trackers evolve, but changing a live topic collection is risky: one edit can affect trend lines, reports, and stakeholder trust. The Learning Relationship gives you a structured way to manage that evolution. Link a development project to your production project, experiment on a representative sample, and push only validated changes back into your live tracker.

How it works

Link two projects in Settings: In Topic Settings, select a source project under Learning Relationship — typically a development project that mirrors your production tracker at a smaller sample size.

Re-sync when you're ready: Use Re-Sync Topics from Learning Relationship to see your current topics next to the linked project's topics. Enable Show Differences to highlight exactly what has changed — topics to update, delete, or add. Nothing is applied until you choose to merge. One click pushes the validated changes into your current project

Want to set this up for your tracker? Reach out to your CSM — they'll help you get started.

You can now control exactly which columns report viewers see when you share a view.

What's new

• New Visible columns section in the view sharing settings
• Check or uncheck individual columns per view
• Hidden columns are excluded from the row browser, filters, segments, and insight elements
• All columns visible by default — use Show all / Hide all to reset quickly
• Search to find specific columns in larger datasets

Why it matters Share cleaner, more focused views with external stakeholders or specific teams — without exposing raw data columns that aren't relevant to them.

We've launched a redesigned documentation experience at docs.caplena.com — easier to navigate, faster to search, and built to match the rest of the Caplena experience.

Clearer structure

Content is organized into six focused sections — Get Started, Topic Assignment, Insights & Reports, Data & Project Management, Integrations, and Settings — so you can find what you need without digging.

Better search

Full-text search is faster and more accurate, so you spend less time browsing and more time doing.

Consistent look and feel

The docs now match the visual style of caplena.com, giving you a more seamless experience across the product.

Note: Your existing bookmarks still work
All previous links redirect automatically. If you come across a broken link, please let us know at support@caplena.com.

We are excited to introduce the Caplena MCP Server, seamlessly integrating your preferred AI applications with Caplena’s Insight Agent. This new capability empowers you to leverage insights within your AI app to help taking action based on customer feedback.

Key Features

Seamless AI App Integration

Versatile Connectivity: Connect Caplena's Insight Agent to leading AI applications such as Claude, Copilot, Codex, ChatGPT, and more. Our MCP supports a wide range of AI tools, ensuring that you can leverage our insights wherever you work.

Dynamic Usage: Use insights generated by our Insight Agent directly within your AI application. Whether it’s replying to colleagues’ questions about customer feedback via email, creating a comprehensive PowerPoint report with embedded insights, or prioritizing your project backlog based on customer feedback, Caplena MCP has you covered.

Requirements for Access

Project Status: To take full advantage of Caplena MCP, ensure that your projects are set to "live" status. Only live projects can be accessed and utilized via the MCP, ensuring that you are working with the most current and relevant data.

Getting Started

Activate the MCP in the Integrations Page

Connect Your AI Applications: This step is specific to your AI app, ask it with a prompt or consult the documentation on how to install an MCP server.

Utilize Insights: Start using Caplena insights in your AI applications to enhance communication and decision-making.

Use Caplena to analyze Zendesk support tickets effortlessly

Key Features:

1. Easy Setup: Connect your Zendesk account to Caplena in just a few clicks.

2. Daily Sync: Automatically sync ticket data for up-to-date analysis.

3. Advanced Text Analytics on conversations: Gain insights into trends, issues, and sentiments. Powered by our conversation analysis feature.

Check our documentation to see how to connect your Zendesk account in Caplena to get started.

The LLM-powered translation in Caplena now understands your project — not just your words.

Context-aware, from the start

Translation has always been tricky when your data contains industry jargon, brand names, or survey-specific terminology. Generic translation tools don't know that "Comfort" is a fabric softener brand, or that "awareness" in your survey means something very specific.

That's why we've added context to the translation process. Caplena in the new LLM based translation now passes your project description and column descriptions directly to the LLM when translating — so it understands what it's translating, not just the words themselves.

Why this matters

For most everyday language, translation works well out of the box. But the real difference shows up in edge cases: brand names that shouldn't be translated, product-specific vocabulary, or subtle phrasing that carries meaning in your survey context. With added context, the LLM can make smarter, more faithful translation decisions — right where it counts.

How to use this?

Select the LLM based translation when creating the project.

The Topic Sentiment insight element now supports comparing multiple segments side by side in a single view.

Previously, analyzing sentiment across segments required switching the segment filter back and forth. Now, when multiple segments are selected, the chart displays all of them at once, stacked by segment, so you can immediately see how sentiment on each topic varies across your audience.

What's new:

• Select multiple segments and see all of them rendered in the Topic Sentiment chart simultaneously
• Compare positive/negative sentiment per topic across segments without toggling filters

You can now connect your Intercom account to Caplena and import conversations and survey responses directly — no manual exports needed. Set up the connection once, and pull in the data you want to analyze with topics, sentiment, and all the other tools you're used to.