Insights surface what's worth knowing; Tasks turn them into assigned, trackable work. Create one from an insight in one click, or start from scratch — either way, you and your team can now collaborate on your daily work!

Creating a task

• From an insight — open its menu and create a task directly, or add one from the insight's detail page. Give it a title, priority, and optionally a due date and owner (defaults to you). Tasks created from an insight also get an auto-close toggle — on, and the task closes itself when the insight retires or is dismissed; off, you close it manually.
• From scratch — open the global Tasks list (side navigation), click create task, and pick the report and view it belongs to. The Tasks list is also where you see everything outstanding — filter by owner, group by priority, due date, or project, and tick items off directly. Good for a Monday-morning triage of what's on your plate

This new feature is in private bata, currently enabled across selected organizations. Want to give it a try? Contact support@caplena.com.

For more information on tasks and how they interact with insights, read our documentation.

Nobody can watch every signal, every day. So Caplena now actively scans your reports and flags what's worth your attention — like a radar —  Risks to fix, and opportunities to scale. That means less digging through reports to find what changed. You see it and can act instantly.

Where you'll see them

• In your report — a collapsible side rail on the right, shows insights next to the insight element they came from.
• On the insights board — a global page collecting every insight across all your reports & views.
• On the insights detail page — a page that shows a specific insight, the linked insight element and linked tasks users can act on.

An insights' life-cycle

1. Discovery — On a regular interval, the Insight Agent scans your report views. If it finds something worth flagging, a card appears in the rail. If not, nothing shows — no noise

2. Updates — Live insights are rechecked on the same schedule, so the numbers stay current for as long as the finding remains relevant-

3. Retirement — Once an insight stops being relevant, it's retired and removed from the view. A new one can appear later if the data shifts again.

This new feature is in private bata, currently enabled across selected organizations. Want to give it a try? Contact support@caplena.com.

Read our documentation to get more details on the new insights feature.

Some visualizations don't fit a preset. Now you don't need one to fit — just describe the chart you want, and AI builds it: type, data, styling, all of it.

• Find it in the list of available insight elements and select Custom
• Not quite right? Use Refine your chart... to adjust with a follow-up prompt

The sky's the limit — see how it works.

Speed matters when you're digging through feedback — the less time you spend waiting, the more time you spend finding the insight that matters. We've optimized our database layer, delivering 2x–5x faster performance across the platform. Expect snappier load times on Reports and the Insight Agent, especially on large projects with heavy data volumes.

We're giving you more room to experiment with Smart Column and Topic Assignment: more included runs, and cheaper overage on top. Here's what's new.

Smart Columns

Included LLM runs per row are doubling across the board:

• Enterprise: 2 → 4
• Team: 1 → 2
• Agency: 2 → 4

And if you do go over, it's a lot cheaper now: overage pricing drops from 0.25 to 0.1 credits per row, on every plan.

Topic Assignment

Same story here. Included runs go from 4 to 6 on Enterprise, Team, and Agency plans, and overage pricing falls from 0.5 to 0.2 credits per row across all plans.

Nothing to do on your end — these upgrades are already live on your account, and they apply to existing projects and Smart Columns too, not just new ones.

You can now import reviews directly from Kununu, the leading employer review platform in the DACH region.

Caplena pulls in employee, applicant, and trainee reviews for any company, including the overall rating, review text, category ratings (work atmosphere, work-life balance, career development, salary, leadership, communication, and more), reviewer department, review type, and employer responses.

To add a source, go to Projects → Import Data → Kununu and enter a company URL, e.g. https://www.kununu.com/de/deutsche-post (supported countries: de, at, ch).

Kununu is Datashake-backed and follows the standard 3-day sync cycle for review platforms.

You no longer have to explain to the Insight Agent what you want it to work on. A small magic-wand icon now sits next to the parts of your project where the Agent can help — click it, and the Agent opens with a ready-to-run prompt already filled in for that exact element. We're starting with the Topics view, and you'll see the wand appear next to more elements across Caplena over time.

What's new

Look for the ✨ icon next to these elements in your Topics view:

• AI quality score → "Optimize the AI quality score"
• Add topic → "Suggest more topics for category {CATEGORY}"
• Edit topic → "Analyze and improve assignment of topic {TOPIC} in category {CATEGORY}"
• Topic description → "Improve description for topic {TOPIC} in category {CATEGORY}"

Each prompt is automatically filled with the right context — the category and topic you're looking at — so you can send it as-is or tweak it first. When you click the icon, the Agent panel opens automatically so you can see the prompt land and hit send.

Why it matters

The Insight Agent can already optimize topics, sharpen descriptions, and lift your AI quality score. The hard part was knowing where to start and how to phrase the ask. These shortcuts remove that step: the Agent now meets you exactly where the work is, with the context already in hand.

Give it a try in any Topics view — just look for the wand.

Enterprise customers can now purchase additional credits directly under Settings → Billing → Manage credits — no need to go through your account team.

Choose a credit amount, confirm, and credits are added instantly.

The Insight Agent can now inspect your topic collection and suggest ways to improve it.

It looks for problems that are easy to miss by hand — vague topic descriptions hurting AI score or leaving rows unassigned, gaps in coverage, redundant or overlapping topics, and conflicts with rows you've manually reviewed. When it finds something, it can act directly: tightening descriptions, adding new topics, or merging duplicates.

Before making a change, it can simulate the effect on a subset of rows first, so you can see the impact before committing — useful for answering questions like "why isn't topic X being assigned to rows containing Y?"

Every change the Agent makes is logged in the topic assignment history, so you always know what changed and why.

What it can do ✨

• Tune topic descriptions to reduce unassigned rows and improve AI score
• Suggest and add new topics to close coverage gaps
• Simulate changes on a sample of rows before applying them
• Remove or merge redundant/overlapping topics
• Flag conflicts with manually reviewed rows

Not yet supported (coming soon👷🏼‍♀️) 

• Sentiment support
• Simulating brand-new topics

You can now connect your Azure Blob Storage account to Caplena and import data directly from your containers — no manual exports needed.

Once connected, select any blob container as a data source and Caplena will automatically pull in your files for analysis.

Getting started: Set up your Azure Blob Storage connection →

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 →