Another interesting topic is the shape of the trends. Especially now, with abrupt changes, we might see many more variations of specific trends. This is another reason why it is so hard to predict trend outcomes in fast-changing environments – as we said, sometimes, opposing forces are at play. For example, the healthy food trend – we spoke about the two types of effect the crisis has on it – but which one will prevail depends on how these socio-economic groups will change and come out on the other side of the crisis. The same is valid for online education. Right there’s a surge in online educational platforms because people have more time on their hands (no job, less socializing (e.g., team sports, going out…). However, once the economy is picking up again, you might see a significant drop in the interest, as people will need to work more than before to compensate for the period of income loss, or people will prefer enjoying the activities they couldn’t partake in during the crisis. On the other hand, it is easier to do something for the second time than the first time – so this crisis might have just removed the last obstacles to online education in the future – and online learning might follow a curve as displayed in scenario
3.What Does This Mean for Research?
The scenarios we discussed today are simplified, but they are helping make clear that conducting research in these fast-changing times is more important than ever. It is quite challenging to predict trend outcomes (i.e., how significant is the addressable market for a specific new product) even in regular times – let alone during a period of rapid change. Research should serve brands to feel the pulse of the consumer along every step of the way.
This crisis can bring about a lot of different effects – so this is not an easy question to answer. However, there was much talk about agile testing in the insights industry in the last few years, but honestly, we have not seen many examples of real agile testing.
This crisis requires faster testing and more of it for a lower budget. Despite this, internal clients will ask for the highest possible predictivity as they gauge consumer needs in order to be able to hit the sweet spot. We don’t advocate substituting quant with qual for validation testing, nor do we say, drop behavioral research and only conduct explicit research – the truth is somewhere in the middle, where high-quality insights meet fast research.
Wonder how to run reliable research during the COVID-19 crisis? Here are two approaches you can use.This article was originally published by EyeSee Research.