You are currently viewing Detect data quality issues with device sensor meta-data

Note: The live webinar has already occurred. You can watch the video recording here.

Digital forms can record more information beyond the questions that appear on-screen. For example, you’re probably familiar with reviewing the time a form started and ended, or the time it took to complete the form. Mobile devices can also collect all sorts of sensor readings–like movement and noise–that can reveal important clues about the conditions under which the data was collected. And SurveyCTO can be easily used to flag outlying sensor statistics for a whole new level of awareness of data quality.

Join us in our next webinar on January 29, 2020 at 2 PM UTC / 9 AM ET to learn how to use sensor meta-data as a powerful indicator of data quality. Doing so will bolster your ability to automatically flag outliers and augment your data quality processes.

A member of our expert support team will lead a 20-minute presentation and then open the discussion to any of your questions. If you miss the live webinar, you can watch the recording that we’ll post in our video library.

Watch the recording

What you’ll learn

In 2018, we released support for recording device sensor meta-data in your forms, either in a continuous stream of values reported by the device, or as convenient sensor statistics automatically saved inside the form data. While the full sensor stream data takes a bit more effort to work with (made a little easier for Stata users using this command), flagging records with sensor statistics is a powerful and simple way to be vigilant about data quality.

In this webinar, you’ll learn how sensor statistics, detectable by device sensors, can help you better understand how your survey interviews were actually conducted in the field, by answering questions like:

  • Did an interview take place indoors more than all others?
  • Did an interview take place in a noisy or quiet place more than others?
  • Did it seem like no conversation was taking place in an interview compared to others?
  • Did it seem like the device wasn’t moving around at all compared to other interviews (or moving more than usual)?

We’ll walk you through setting up a sensor-based quality check, and consider some records flagged in the review workflow. We’ll also consider individual values relative to the distribution of those values, so you get some idea of why those values are outliers. You’ll receive step-by-step guidance on how to do the following:

With these skills, you’ll be able to better harness the cutting edge of an already mature set of quality control-related field types that can be included in a SurveyCTO form design, including text audits, audio audits, and speed violations. You can learn more by exploring our quick-start guide to sensor-powered quality control.

How to attend

The webinar will be held on January 29, 2019 at 2 PM UTC / 9 AM ET. Register now to attend! We’ll also post video recordings of all the webinars in our video library and share them on our Facebook, Twitter, and LinkedIn pages. 

You can also check out the video recording of our last webinar on how to pre-load choice lists into your forms. And if you need help now, our support team is available 24×7. Go to the Support Center and click on the link to “Submit a support request.” No question is too small.

Lindo Simelane

Digital Analytics Associate

Lindo is a part of the marketing team at Dobility, the company that powers SurveyCTO. He is responsible for all aspects of data management and analytics for SurveyCTO’s website, social media, and other marketing efforts.

Lindo has a passion for research to inform policy in international development and economics. He has extensive experience in the ICT4D space that includes research work, and a background in international business and finance.