Why Wordnerds?

Accuracy: Because humans and language evolve

Our proprietary AI understands the meaning in text feedback, turning it into actionable insights and sentiment in minutes.

Wordnerds combines linguistics and AI with your knowledge to perform coding at scale. The perfect blend of AI and your human expertise means you uncover the most accurate customer insights from any feedback source without the manual work.

The result is insights you can trust.

Depth: Get Data-Driven Insights

To make something actionable it has to be specific.

For example you might know that you have a problem with deliveries. Knowing you have 5000 delivery issues doesn't help. Is it something with the packaging, delivery times, returns processes? The likelihood is that you’ll need to ask "why?" five times until the true nature of the problem becomes clear.

Other feedback analysis platforms can highlight top-level issues, but Wordnerds helps you discover the why, and how to solve it.

Flexibility: Full control over your data

Some tools will analyse your data and give you top level insights, but that's as far as it goes. You won’t know how it arrived at a certain conclusion.

Wordnerds is different, we allow you to train your own data so you can analyse at scale. Meaning you know exactly why you’ve got the results you have, and you can make tweaks whenever you need.

Speed: Insights in Minutes

If someone asks you what your data tells them about a subject, and you don't have a classification model trained for it, what do you do?

Some tools take weeks to add new themes to their platform. With Wordnerds you can do it yourself in 30 minutes.

Get to the root cause of issues fast - so that you can go and solve them .

See Wordnerds in action

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Explore Wordnerds resources

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Our CEO Pete will show you how Wornerds can help you:


✔ Surface root cause insights you can actually action

✔ Discover how to do manual tagging at scale

✔ Find surprises in your data with automated topics


No salesy stuff until you know we’re the tool for you.

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