Tag Archives: analysis

Decreasing Data Precision to Achieve Increased Sample Sizes: A bold, wise move from Statistics Canada

Posted on Wednesday May 15th, 2019 by CanView Team

Statistics Canada recently announced a trial usage of Random Tabular Adjustment, RTA in their publicly released datafiles (read the academic paper by Mark Stinner here). RTA is a fancy name for a fairly simple process that will give external researchers … Continue reading →

Posted in Market Research | Tagged analysis, dashboard, data collection, in-depth interview, quality assurance, quantitative, reporting, sample | Comments Off

Research and Analytics Dashboards: From Idea to Design

Posted on Thursday August 23rd, 2018 by CanView Team

As delightful as a 100-page report is, especially when it’s tracker results delivered 4 or more times per year, sometimes creating a custom dashboard is the only logical way to present research results. A well-designed dashboard makes it vastly easier … Continue reading →

Posted in Market Research | Tagged analysis, dashboard, data collection, fieldwork, quantitative, reporting | Comments Off

U&A&H&P: What are the key components to learn about consumers, customers, and category users?

Posted on Friday August 10th, 2018 by CanView Team

The words are different but the application is the same. Usage and Attitudes studies, also called Habits and Practices studies, help researchers and marketers understand consumers and customers in order to build and innovate products and services. They are an … Continue reading →

Posted in Market Research | Tagged ad test, analysis, CATI, customer, data collection, fieldwork, IDI, in-depth interview, interview, panel, panelist, telephone interviewing | Comments Off

Market Research Myths: Public data offers everything we need

Posted on Friday June 29th, 2018 by CanView Team

Public data is a valuable resource for market and social researchers. For those who have limited budgets, public data may form the bulk of data available to them. On the other hand, even researchers who have commendable budgets eagerly wait … Continue reading →

Posted in Market Research | Tagged analysis, data collection, open-end, panel, qualitative, quality assurance, quantitative, recruitment | Comments Off

Market Research Mythbusters: Research reports aren’t useful!

Posted on Wednesday June 20th, 2018 by CanView Team

When you’ve invested thousands of dollars into a research study, the report should be useful and actionable, one that is regularly studied and referred to. And, if there is a paper version, dog-eared and bookmarked, and weathered with love. With … Continue reading →

Posted in Market Research | Tagged analysis, concept test, customer, data collection, EyeHome™, fieldwork, package test, qualitative, reporting, social observation | Comments Off

Conducting research is easy… if you understand hundreds of cognitive biases!

Posted on Thursday June 14th, 2018 by CanView Team

If you’re equipped with excellent written or interpersonal communication skills, conducting research is easy. You identify hypotheses, develop questions or discussion guides to address them, and you’re done! Except you’re not done.People come prewired with literally hundreds of cognitive biases … Continue reading →

Posted in Market Research | Tagged ad test, analysis, cognitive bias, concept test, customer, data collection, fieldwork, focus group, in-depth interview, interview, mall intercept, moderator, package test, sensory test | Comments Off

The good, the bad, and the ugly of the NPS score

Posted on Monday June 4th, 2018 by CanView Team

The Net Promoter Score (NPS) is a common metric used by management to gauge customer relationships. It consists of a single question that asks about likelihood to recommend. But there is wide disagreement about whether the Net Promoter Score is … Continue reading →

Posted in Market Research | Tagged analysis, customer, customer experience, customer relationship, data collection, fieldwork, measurement, metric, Net Promoter Score, NPS, product recommendation, quantitative, recommendation, user experience | Comments Off

Can market researchers ditch the p-value?

Posted on Monday May 28th, 2018 by CanView Team

Among quantitative researchers, p-values are a much desired yet disputed topic. P-values help us by identifying the likelihood that two (or more) numbers in our research results would be different by chance, thereby allowing us to identify which products and … Continue reading →

Posted in Market Research | Tagged analysis, data collection, effect sizes, fieldwork, LOI, p-values, package test, panel, panelist, quantitative, reporting | Comments Off

Correlation vs Causation and the Battle for Relevant Brand Research Conclusions

Posted on Monday April 30th, 2018 by CanView Team

The difference between correlation and causation seems fairly straightforward. Correlation means there is some kind of relationship between the variables but it’s impossible to determine if one is the root cause of the other. Causation means there is a predictable … Continue reading →

Posted in Market Research | Tagged ad test, analysis, causation, concept test, correlation, data collection, Datasaursm, fieldwork, package test, quantitative, sample, sensory test, Spurious Correlations, taste test, Tyler Vigen | Comments Off

Why are Twitter Polls a Bad Idea?

Posted on Tuesday April 24th, 2018 by CanView Team

To be fair, we occasionally run Twitter polls. We’ve asked about brand trackers, personal use of cannabis, Thanksgiving food, and a variety of other research topics. Twitter polls are a fun way to encourage people to think about a topic, … Continue reading →

Posted in Market Research | Tagged analysis, data collection, fieldwork, quality, quantitative, recruitment, reporting, sample | Comments Off

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