Career Planning Priorities for Senior Market Research & Insight Pros

Saying that the market research profession has changed a lot in the past few years is such an understatement, it almost sounds sarcastic, doesn’t it? But there you have it.… Continue reading Career Planning Priorities for Senior Market Research & Insight Pros

Qualitative Research Demand & Chainsaw Juggling: Look Out for Hard-Core Qual

My hypothesis is that over the next year we will see strong demand for qualitative research, but it will skew to what we might call hard-core qual. That is, projects that are using qualitative research with rigorous attention to methodological and analytical execution. Thus, researchers will be expected to deliver projects that meets the persistent needs for scale and speed while also being rigorous.

Organizations that embrace customer-centric, data driven decision making (which is most of them) often do value qual. But as these organization have become more data-centric, their business decision makers have become more aware of data reliability concerns. Thus, it’s not surprising that while we are seeing strong demand for qual, we are also seeing higher expectations about the methodological rigor with which it conducted.

Are Market Researchers Over-relying on the Importance of “Why”?

Sure, big data tells you what consumers do, but you need market research to find out the “why.” It’s a common statement these days. But is it factually accurate? Or… Continue reading Are Market Researchers Over-relying on the Importance of “Why”?

Can You Think of at Least 3 Market Research Career Path Scenarios?

Why the focus on career planning? Because market research career paths are changing. Your next big career move could be quite different than what you may have envisioned just a… Continue reading Can You Think of at Least 3 Market Research Career Path Scenarios?

Is Big Data Creating New Market Research Career Paths?

I’m mad. Well, that may be too strong of a word. But I am certainly annoyed. Why? Because at every national market research conference I have attended for the past 3 years,… Continue reading Is Big Data Creating New Market Research Career Paths?

The Most Significant Change in 2018: New Organizational Structures

The most significant change for market research & insights professionals isn’t being talked about, and it should be. It isn’t about AI. Or automation. Or mobile apps. Or block chain. It’s about organizational structure. In this fast-paced presentation, Kathryn Korostoff will present her research on organizational structure changes, and how they are creating job title and skill requirement shifts. Let’s get specific and talk about implications for career planning.

[YouTube] Everybody’s Biased: Plus 7 “Big Data” Challenges

No data source is perfect. Unfortunately, biased experts often over-promise and often under-deliver what their data source, or methodology, can deliver. Big data is no exception. So, what do market… Continue reading [YouTube] Everybody’s Biased: Plus 7 “Big Data” Challenges

Becoming A Data-Fluent Market Researcher: Part 1

Are you a data-fluent market researcher? The modern business world is chock full of data-related concepts like ‘big data,’ ‘web analytics,’ ‘predictive data,’ and countless more. It’s a lot to… Continue reading Becoming A Data-Fluent Market Researcher: Part 1

Is Big Data Creating New Career Options for You?

When was the last time you really thought about: Your research and insights career path? Your career goals? What you would like to do, learn, or otherwise accomplish? I know… Continue reading Is Big Data Creating New Career Options for You?

Big or Small: No Data Set is Perfect

Icons of people with gears and interface icons technology, social media. concept of people communicate in a global network. Icons of people with gears and Interface icons

What do big data, survey research, ethnographic studies, focus groups and customer analytics all have in common? They are all imperfect. Yes, they have their respective strengths, but none of… Continue reading Big or Small: No Data Set is Perfect