How to collect trustworthy and relevant data?

Data collection from respondents is a key activity in social science research and evaluation. The quality of the data collected in surveys and interviews is crucial to the answers that research or evaluation can give. There is often a choice between using quantitative methods that enable statistical analysis, or using qualitative methods that provide good opportunities for exploring more complex issues.

Collecting and analyzing data is often difficult and time consuming. Many rigorous quantitative survey methods provide relatively low relevance to society. Qualitative interview and observation methods are often of higher relevance to practitioners, but often fail in providing reliable and generalizable results. Many researchers and evaluators find it difficult to find a versatile method of collecting data. If you recognize these challenges, LoopMe is probably something for you.

Three benefits of LoopMe for researchers and evaluators

By using LoopMe as a tool for data collection, you achieve three key benefits – clarity, better data and automation.


Clarity increases with LoopMe since all respondents get a clear overview of both expected actions and possible outcomes, directly from their daily leader. Respondents see exactly what actions are expected of them.

Better data

LoopMe gives you as a scientist a unique opportunity to get insider access to the practitioners’ own trustful dialogues in digital form as they discuss issues of central importance for them and for your research. This produces very high quality data.


LoopMe transfers the responsibility for collecting data to respondents themselves. This saves time for you as a researcher. Once LoopMe is deployed among practitioners, your research data will automatically come to you.


Users love the unique insights and a lower cost

The researchers and evaluators using LoopMe to collect and analyze data say that the level of detail and confidentiality of the reflections sent by respondents to their leaders give a unique insight into social processes. The many opportunities to quantify respondents’ experiences also facilitate the analysis. Project evaluations using LoopMe contain deep insights from more respondents than other methods can provide, and also benefit from a lower cost for the data collection activities.

High-quality research

Research carried out with LoopMe has been published in many scientific journals, also in top-ranked journals. Award-winning research has also been conducted based on data collected with LoopMe.

A promising and innovative method

The method behind LoopMe has attracted attention among researchers around the world and is considered very promising. It could potentially disrupt data collection as we know it.


LoopMe clarifies what is desirable and interesting

With LoopMe, key research questions can be made clear to all respondents and continuously monitored longitudinally over time. Together with their leader, you specify a number of actions that respondents are expected to perform. This clarifies those behaviors that are interesting to study as well as triggers action and subsequent deep reflection among respondents. LoopMe contains predefined actions to choose from, and you can also create completely customized actions that the leader hands out to your respondents. Then you can easily follow the respondents’ actions and reflections in real time via the live feed and summary matrices.

On the web, the tablet or in the mobile, the respondents get a smooth overview of their assigned and completed action assignments. Once an action has been completed, they quickly send a report about it to their leader, as well as to you as a researcher. Each report contains a personal reflection, an emotion categorization, and a categorization using different tags that indicate progress and challenges.

"This ability to engage in experience sampling offers a powerful way to collect information on entrepreneurial activity and holds great promise as a research method. "

— William Gartner, Professor, Babson College


LoopMe collects in-depth and honest data

With LoopMe, you as a researcher can deploy a communication platform among practitioners that they benefit from in their everyday work-life. The data generated then becomes both more in-depth and more honest than if the respondents had answered questionnaires or participated in interviews. LoopMe thus gives you access to the deep and unique confidential dialogues that practitioners have daily with each other, in matters of great relevance to both them and to your research. Through ingeniously formulated assignments that merge action with guided reflection, the digital conversations become focused on precisely those issues that are of most interest to you as a researcher.

Because each reflection is written immediately after an assigned action has been completed, the live feed that you as a researcher follow on the web or in the app becomes more relevant. You can also join the dialogue if the situation allows, via a comment thread on each report. Since LoopMe keeps track of which respondents have completed which action assignments, you can often achieve close to 100 percent response rates.

"We are using LoopMe to study what happens when research and practice meet. What challenges arise, what opportunities are there?"

— Helén Viebke, action researcher at Åstorp municipality


LoopMe simplifies documentation and facilitates analysis

With LoopMe, responsibility for data collection is transferred from you as a researcher to the leaders and respondents who participate in the environment you study. Mandatory reflections on well-thought-out issues of high relevance to your research ensure that important insights, advances and challenges are recorded and come to the attention of your research team.

Since emotion categorization and category tags always need to be specified in each report, you quickly get an overview of the data collected through LoopMe. You can easily capture moods among groups of respondents by looking at emotion icons and tags, and the in-depth analysis is facilitated by statistics based on these estimates. Trends can also be analyzed both in real time and afterwards. Effects of different actions by respondents are clearly measurable and comparable.