Tag: open end

Reel Emotion: Phebi’s New Video Analytics Capability

Voice is the most intuitive, natural and efficient way to communicate. It’s also an emotional microscope. So with increasing volumes of research data being captured through recorded audio and video, it can be a source of valuable insight. The award winning Phebi platform goes beyond what people say, illuminating how they felt when they said it and translating that emotional response into data that can be analysed for greater insight. ​The combination of analysis of both emotion data (from the ‘tonal analysis’ of the respondent’s vocal characteristics) and…

Anti-fraud Technique for Open Questions

One of the most enjoyable aspects of my role is engaging with clients in person and gaining insight into how they utilise Askia. I am constantly amazed by the ingenuity of our users and the resourceful ways they optimise their survey businesses with our platform. A recent visit to Warwick to meet with Consumer Insight provided a shining example of this. We were discussing the thorny issue of survey fraud and data quality with Craig Meikle and Jack Wood. I was relaying some of the excellent information that…

Open-ended questions – a guide

The Askia blog is called Open Ends and this name couldn’t be more pertinent for our latest blog article, which is all about the open-ended question. Here we summarise much of the knowledge that we have picked up from a couple of decades of providing survey software and working with insight professionals and their open-ended questions. When to use them; how to optimise them; and how to analyse the unstructured data that is collected. For many of our seasoned users this article will likely be seen as “teaching…

Time to get emotional

Voice is the most intuitive, natural and efficient way to communicate. It’s also an emotional microscope. The award winning Phebi solution goes beyond what people say, illuminating how they felt when they said it. ​The combination of analysis of both emotion (based on ‘tonal analysis’ of the respondent’s vocal characteristics) and sentiment (based on the words used) helps researchers understand people more deeply and better predict their behaviour.​ In effect, Phebi allows researchers to add qualitative depth to their quantitative surveys. And here at Askia we are delighted…