Melanie serves as Executive Vice President of Global Client Services at Research Now. Since joining the company in 2011, Melanie has played an integral role shaping a team that is passionate about research sampling, quality, and world class client service. She has also played a key role in guiding the product development and thought leadership advances made at the company.
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In the recent Q1-Q2 2017 GRIT Report, participants were asked how they prioritize methods for research projects, and an overwhelming majority chose quality as the most important factor. This is a true indication that, even in times where cost-cutting strategies are widespread across all industries, quality cannot be compromised – quality both in terms of survey participants’ experience and overall …
There have been many advancements in the evolutionary process of online sampling and survey optimization that have improved data quality by making research more engaging for survey participants. Advancements such as routers, for example, have enhanced sample optimization by assigning survey respondents to surveys based on profiling or demographic data to ensure they are served relevant surveys so 1) their …
IIeX. Insight Innovation Exchange. A place where buyers and sellers of insights generating tools and practices come together a few times a year all over the world and discuss what is pushing them forward, and what is holding them back. A place to measure our progress and call out our vulnerabilities. A place to applaud ourselves, challenge ourselves, and chastise …
Yet, in the Q1-Q2 2017 and Q3-Q4 2016 editions of the GreenBook Research Industry Trends (GRIT) Report, results show otherwise. Respondent experience was rated as one of the least important factors taken into account when designing a study by both research buyers or clients and research providers or suppliers. How can we, as an industry, expect to obtain reliable, truthful …
As I think back to the topics we have covered in recent months regarding research quality, I recall what you might expect. Mobile design considerations. Panel partnership and sourcing. Automating in-survey checks. Reviewing and coding open ends. Bayesian techniques for identifying outliers. But what I haven’t seen enough about, or maybe anything about, is how important screener design is to …
