Here are five ways to help your stakeholders and executives trust your research data.
This is the final article in our series on UX research data quality. Part one is here: How do you ensure the best-quality participants for user research? and part two is here: Five best practices for ensuring quality user research data.
Here’s the scenario: you’re about to head into the boardroom to present your UX findings to your stakeholders. You’ve got a lot riding on this project. You’re excited about the results. More importantly, you’re keen to convince your stakeholders about the value of UX so you can get additional budget and develop more projects.
There’s just one problem.
Your stakeholders are, to put it mildly, ambivalent. They’ve heard about industry issues like fraudulent participants, duplicate results, and professional survey takers. They’re worried that your results are inaccurate. If your stakeholders are going to move the needle based on your insights, they need to know that your findings are watertight.
There’s no one way to conduct a research project. You could gather feedback via guerrilla testing, emailing your customer database, or even recruitment through social media. However, it’s hard to control data quality when using these methods. For example, it isn’t easy to vet what people are who they say they are on social media.
This, in turn, can undermine your efforts when you head into the boardroom, which is why it can be beneficial to work with a trusted partner. Whether you choose a panel vendor or a UX platform that gives you access to your target audience, working with a specialist can boost stakeholder confidence in your project.
For executives to trust your results, you need both high quality and a high quantity of participants – but fraudulent/invalid participants can undermine your research findings. The good news is that a trusted partner will manage the process of finding participants for you.
They’ll be able to take out bots, screen out professional testers and review potential participants based on historical data to ensure your sample is up to scratch.
While a UX partner can go a long way in ensuring the validity of your results, you still need to keep an eye out for participants that became dis-engaged while taking your survey. By doing your due diligence, you can instill confidence in your stakeholders that your results are entirely accurate.
So, here’s how to spot inattentive research participants:
Everything you need to successfully recruit the ‘right’ participants for user research
If your research questions are long-winded, confusing, or complicated, then your participants are more likely to disengage.
You also need to make sure your questions aren’t leading so that you get truly accurate results. Design is imperative here. Make sure that your questions are impartial and easy to understand. Plus, keep your survey short and limit the number of answer options.
Ideally, all of your target respondents would respond to your online survey. However, the online world holds its own biases. For example, you may often see younger individuals within specific income brackets reply to mobile-first surveys. This can lead to sampling bias.
To prevent this, ensure that you distribute your survey across multiple channels so it’s visible to different demographics. Tactics to consider include survey websites, email blasts, QR codes, and text messages.
With these five measures in place, you’ll be able to walk into your stakeholder meeting brimming with confidence that your data quality is watertight. But, remember, your stakeholders aren’t UX researchers. They have other demands on their time, and they’re business-impact focused.
So before we sign off, our last tip is this: condense your findings and keep them relevant. Carefully choose and focus on the critical results, then show your stakeholders why they should care and what needs to be done next.
This will make you come across not only as a great UX researcher but a great leader – someone who is well-placed to spearhead future UX projects.
Find out how UserZoom can help enhance data quality and sell your findings to stakeholders. Get in touch today.