At Nielsen, we believe that our panels make our company stand out. We devote a great deal of time and resources to ensuring that our panels produce high-quality data. By combining big data with smaller data sets from carefully chosen and measured households, we believe that we provide a higher quality of insights than anyone else in the marketplace.
Die Datenwissenschaftler von Behavioral Methods kümmern sich um die Erfahrung der Panelisten, denn eine großartige Erfahrung der Panelisten führt zu unseren besten gesammelten Daten, was wiederum zu zufriedenen Kunden führt. Und um das zu erreichen, denken wir darüber nach, wie die gesamte Erfahrung der Panelisten aussieht. War die Registrierungsumfrage einfach auszufüllen? Ist die Teilnahme lohnend? Hat der Panelist das Gefühl, dass er seine Welt mitgestalten kann? Bei Nielsen sammeln unsere Datenwissenschaftler, die sich mit Verhaltensmethoden beschäftigen, Erkenntnisse über unsere Panelisten und ihre Erfahrungen und entwickeln Wege zur Optimierung der Datenqualität.
Viele der Verhaltensforscher, die in der Data-Science-Abteilung von Nielsen arbeiten, verfügen über eine fundierte Ausbildung u. a. in den Bereichen Umfrageforschung, Psychologie, Soziologie und Anthropologie. Einige dieser Forscher konzentrieren sich auf die wissenschaftliche und systematische Sammlung von Informationen durch Methoden wie Fokusgruppen, Tiefeninterviews, Umfragen, Beobachtung und Usability-Tests. Der Einsatz dieser qualitativen Methoden oder Methoden, die sich eher auf Worte und Erfahrungen als auf Zahlen und groß angelegte Muster konzentrieren, ermöglicht ein Verständnis der Erfahrungen der Panelisten und zeigt Wege auf, wie unsere Datenwissenschaftler die Messungen von Nielsen verbessern können. Als Nächstes gehen wir auf die verschiedenen Forschungsmethoden ein, die für die Weltklasse-Messungen von Nielsen eingesetzt werden.
Observation
Behavior researchers use observation to see how people interact with meters, surveys and other measurement tools. Observation is perhaps the most basic data collection method in the behavioral sciences. It’s valuable because it bridges the gap that can exist between what humans say and what they do. Think of when you visit your dentist—have you ever lied about how often you’re flossing? Or perhaps you know someone who stretches the truth about how much they exercise when their doctor asks. People commonly misreport their behavior for reasons such as: having incorrect memories of an event, wanting to paint a positive picture of themselves by omitting “negative” behaviors, and wanting to please others by saying and doing the “right things.” This leads research participants to distort the truth. Observation allows scientists to see what people are doing and overcome the errors of social desirability.
Surveys
Surveys are useful for understanding beliefs, behaviors and attitudes in large groups of people and for collecting characteristic information. They can help to reveal patterns that are not always obvious in smaller data sets. They’re also useful for gathering information on sensitive subjects, such as topics that people might consider private, or for gathering information to compare groups of people and their behaviors over time. Nielsen uses surveys to understand opinions and behaviors of current and former panelists. Among our surveys, we’re most well known for our radio diaries, which survey people about the shows, stations and programming they enjoy. We are also well known for our Scarborough service, which surveys people about their print media, local television, shopping, and radio listening habits, to name a few.
Usability testing
Usability practitioners conduct testing to understand how people use websites, tools, and technology. Think about the last time you paid a bill online. Was the experience pleasant? Was it easy to navigate to the bill payment section of the site? Did you feel like the website looked trustworthy? If you answered yes to all of those questions, you experienced a well-designed site. Unfortunately, many websites are confusing and challenging for regular people to navigate. Usability testing is important because it involves watching real people use products and websites. Observation, combined with researcher questions, help designers understand how to improve their products. Usability testing has been used to upgrade Nielsen’s computer and mobile panel web page, as well as our mobile app.
Interviews
In-depth interviews consist of an interviewer and interview participants and typically last between 30 minutes and an hour. A well-run interview session is like a great first date, with the interviewer making the respondent feel comfortable while getting to know a great deal of detail about one or more areas of their life. Interviewers are trained in active listening, on-the-spot data analysis, and in asking probing questions. Interviewers follow pre-written lists of questions about one or more topics of interest. Data scientists might ask about pain points that panelists experience as part of their participation, as well as about the benefits of participating in a panel and exit interviews with individuals who are no longer in a panel.
Focus groups
Focus groups are designed to gather a range of opinions on one or more topics. Focus groups are typically made up of six to eight participants and a moderator trained in facilitating group dynamics and in asking open-ended questions. We use focus groups when we want to understand how a group of people might talk about an issue. Skilled moderators make participants feel like they’re chatting with friends. The benefit is that the conversation will remain on the topic(s) of interest and can show diversity of opinions or that most people agree. Focus groups typically last between one and two hours and can involve questions, surveys, activities and idea generation. Panelists typically do not participate in focus groups, but they may be invited to participate after their panel participation is over to give feedback on future directions for research.
Diese Methoden ermöglichen es uns, besser zu verstehen, warum und wie die von uns erhobenen Daten generiert werden. Indem wir mit den Panelisten sprechen, sie befragen und ihr Verhalten beobachten, können wir Muster erkennen, die die Teilnehmer möglicherweise nicht mit Nielsen teilen können. Wir können auch Quellen von Messfehlern ausfindig machen, wie z. B. Fragen, die für die Teilnehmer unklar sind, oder Schwierigkeiten mit den Messgeräten, die zu einer geringeren Compliance führen können.
Obwohl die Ergebnisse dieser Initiativen zu kleineren Datensätzen führen, die wir externen Kunden nicht immer zur Verfügung stellen, beeinflussen sie die Auswahl und die Entscheidungen, die wir intern treffen, und tragen dazu bei, dass die Stimme unserer Panelisten die Messentscheidungen beeinflusst, die wir bei Nielsen treffen. So stellen wir sicher, dass die Daten, die wir unseren Kunden zur Verfügung stellen, erstklassig sind - die Wissenschaft hinter dem, was als nächstes kommt.
