Our method

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Research is expensive, time-consuming, and even if you think you’re ready to outsource instead you’re usually beat over the side of the head with endless ‘price available upon request’ options.

You should never have to jump through hoops or settle for a service that you can’t seem to adapt to.

The service should be built around you, and here’s what you can expect.

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Initial sign-up

Woohoo, you’re on your way to receiving monthly insights through tailored research!

You tell us a little bit about your business, and we’ll allocate you one of our experienced researchers to give you clarity and jargon-free collaboration.


In an efficient and concise hour-long workshop, you and your researcher will planyour first goals.

We’ll guide you on the method so that each month, your researcher will create your study from 10 base research templates – you’ll also receive your own branded templates and surveys!

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Conduct the study

You don’t have to worry about the hard part! We’ll manage and analyse the studiesfor you.

If there’s anything that your researcher needs, they’ll be there to guide you step-by-step and won’t leave you in the deep end.

The magic part

We take all three data sets (outlined below) to create insights and shareable, actionable outputs in a one-page report for you and your team to use.

You can pop the kettle on, make yourself a good brew and have confidence in the insights you’re receiving (and how they can keep your users coming back for more).

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Our Approach

Our approach to FemTech UX research at WorkieTicket is a simple and proactive three-step method.

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Qualitative data

We collect qualitative data – interviews, contextual observation, usability tests – to help bring your product to life by:

  • Getting to the bottom of your users’ beliefs and behaviours
  • Building a human narration around a moment in time
  • Providing rich, vulnerable stories

Quantitative data

Our approach to quantitative data boils down to being concise, providing you with:

  • Surveys run with proportionate user samples
  • Combined data sets, so that you can be confident in the insights you receive
  • Actionable, unbiased data
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Secondary data

We use secondary data – books, journal articles, statistics websites – to:

  • Look at the bigger trends
  • Show you how our data compares to other studies
  • Provide useful (but vast) data to deepen your understanding

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