What is Unique and what does it actually do?

What is Unique and what does it actually do?

Unique uses a probability-based metric to highlight the discussions that appear more frequently in your filtered data compared to the rest of your dataset. When we say 'filtered data', we simply mean the part of your data you have chosen to focus on. This could be anything from a certain region, an age group, or even a particular product. In simple terms, Unique helps you spot what's genuinely different or distinctive about your chosen data segment.

For example, let's say you filter to feedback from customers aged 18-25. If this age group are consistently talking about an issue that isn't being mentioned much elsewhere, Unique will flag that, giving you a clear picture of what matters most to that age group.

So, why is this useful?

While volume and sentiment based analysis are useful, Unique adds a crucial layer of context. It's like a data detective, it tells you whether a theme is particularly relevant to your filtered dataset, or just common across the board.

It makes it easier to:

Prioritise issues that are specific to certain groups
Compare feedback across brands, timeframes, or customer segments
Focus your attention on the themes that matter most right now

Where can you find Unique?

You can use Unique in Trending and Deep Dive. We'll take a look at unique in action in Deep Dive. For this example we're looking at a pet shop's Trustpilot reviews. What are their detractors really saying?

Curious to learn more about Deep Dive? Head over to our knowledge base article for all the details, linked here 💡

Step 1: Head to Deep Dive and use a star rating framework to take a look at 1 star reviews.

Step 2: Once 1 is selected, the themes, topics, and verbatim update to only show 1 star reviews.

In themes, the top volume theme is delivery timescales, but what is the most unique?

Step 3: To find the most unique, use the bar at the bottom to scroll across and press Unique until it shows you the most Unique first.

Step 4: Now we can see that the most Unique theme is brand trust, mentioned in 30% of verbatim comments within 1 star reviews.

In contrast, within the whole data set, brand trust is mentioned in only 7% of data! It's clear that brand trust is much more common in the negative 1 star reviews.

When should you use Unique?

Use Unique when you want to:

Compare different customer segments
Understand what is distinctive about specific groups
Prioritise issues that affect particular audiences
Move beyond surface level stats

Summary

In summary, Unique gives you the power to move beyond what’s simply popular and uncover what’s truly significant to specific groups within your data. Whether you're trying to understand the pain points of a particular customer segment or prioritise where to take action, Unique helps you zero in on what really matters. It’s not just about what’s being said, it’s about who’s saying it and how often. So next time you dive into your data use Unique to spot the standout signals that deserve your attention.

Here's a walkthrough video of Unique in action 📹

More questions?

We’re always happy to chat. Reach out using the help bubble at the bottom of your screen, email support@wordnerds.ai, or contact your Customer Success Manager directly.

✍️ written by: Katie, Customer Success Executive

Uncover insights with Unique ✨

Unique is one of our most powerful features, and for good reason! It helps you identify which themes or topics are more specific to a particular slice of your data.