London-based start-up WaveMining uses chatbots to run free worldwide surveys for journalists, researchers and charities

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2,000,000 votes have been gathered on worldwide issues related to lifestyle, happiness, or politics. Results can be viewed on

The new service offers significant improvements to those looking to collect and use worldwide survey data: notably in precision, convenience and speed. Also, it is entirely free. As a result, journalists can personalise their questions rather than relying on existing opinion polls, and charities and researchers can save valuable time and money.

What kind of questions?

Do you prefer fewer cars or cheaper cars? Pandas or lions? Is there life after death? Are you proud of your country? Should Europe welcome more refugees? Should the US bomb North Korea?

The scope of the service is vast. Virtually any question can be asked, but the broader and more widely applicable the topic, the faster results will be gathered - a matter of a few weeks for questions that can gain traction from multiple demographics.

Where do answers come from?

Wave Mining Ltd is a London-based machine learning startup. We provide conversational skills to chatbots used by over 1 million people in 170 countries. As part of their conversations with chatbots, users can answer surveys which allow them to compare their opinions with those of other people around the world. Over 2 million answers have been collected from 200,000 survey users since September 2017.


Survey questions can be sent using Twitter to or by email to Journalists suggesting a question gain early access to survey results, more detailed data and ways to check that survey results are accurate.

Once they have gathered a few thousand votes, published surveys can be found on

A few sample surveys:
Does having children improve one’s quality of life? 13371 votes
In the morning, do you prefer to drink tea or coffee? 24768 votes
Who is a better president: Barack Obama or Donald Trump? 15881 votes


Email: justsayit(at)wavemining(dot)com
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Olivier Bourdin
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since: 11/2017
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