This toolkit outlines broad concepts of branding, post design, and post management. It also provides details, suggestions, and tips on how to create an account, gain a following, increase engagement, and more on both Facebook and Instagram. . Lastly, it details the process of using paid Facebook and Instagram advertisements for research purposes (i.e., recruiting participants).

Results show 9–17 interviews or 4–8 focus group discussions reached saturation.

The Meta-Analysis Learning Information Center (MALIC) believes in equitably providing cutting-edge and up-to-date techniques in meta-analysis to researchers in the social sciences, particularly those in education and STEM education.

How many interviews are enough depends on when you reach saturation, which, in turn, depends on your research goals and the people you’re studying. To avoid doing more interviews than you need, start small and analyze as you go, so you can stop once you’re no longer learning anything new.

awful example of landing page!

For HCI survey research broadly, we recommend using a question similar to the first question in [2]’s measure (as quoted in [3]) – “Are you…?” with three response options: “man,” “woman,” “something else: specify [text box]” – and allowing respondents to choose multiple options. This question will not identify all trans participants [3], but is inclusive to non-binary and trans people and will identify gender at a level necessary for most HCI research. To reduce trolling, we recommend providing the fill-in-theblank text box as a second step only for those respondents who choose the “something else” option.

I love it that one of my students suggested we change the default “Other (please specify“) option to “Not Listed (please specify)“ in a demographic survey. Explicitly *not* “othering“ participants while still asking for the info we want. Any implied failure is on us, not them.

In their maturity, the fields of experience strategy and behavior change design are moving past the casual flirtations of two complementary knowledge domains into a full fledged partnership: when we marry the design of behavioral interventions and the design of experiences, there’s a special power in combining the myriad frameworks from both domains. This becomes especially effective when the goal is not just to identify pain points in an existing experience journey or illustrate an ideal future one — but to make actionable recommendations that will help clients make the leap from actual to ideal.

Effective communication between academics and policy makers plays an important role in informing political decision making and creating impact for researchers. Policy briefs are short evidence summaries written by researchers to inform the development or implementation of policy. This guide has been developed to support researchers to write effective policy briefs. It is jointly produced by the NIHR Policy Research Unit in Behavioural Science (BehSciPRU) and the UCL Centre for Behaviour Change (CBC). It has been written in consultation with policy advisers and synthesises current evidence and expert opinion on what makes an effective policy brief. It is for any researcher who wishes to increase the impact of their work by activity that may influence the process of policy formation, implementation or evaluation. Whilst the guide has been written primarily for a UK audience, it is hoped that it will be useful to researchers in other countries.

Growing numbers of Latinos identifying as “Some other race“ for the U.S. census have boosted the category to become the country's second-largest racial group after “White.“ Researchers are concerned the catchall grouping obscures many Latinx people's identities and does not produce the data needed to address racial inequities.

Developed by the Right Question Institute, the Question Formulation Technique, or QFT, is a structured method for generating and improving questions. It distills sophisticated forms of divergent, convergent, and metacognitive thinking into a deceptively simple, accessible, and reproducible technique. The QFT builds the skill of asking questions, an essential — yet often overlooked — lifelong learning skill that allows people to think critically, feel greater power and self-efficacy, and become more confident and ready to participate in civic life.

Objective: In this work, we aimed to develop a practical, structured approach to identify narratives in public online conversations on social media platforms where concerns or confusion exist or where narratives are gaining traction, thus providing actionable data to help the WHO prioritize its response efforts to address the COVID-19 infodemic. Methods: We developed a taxonomy to filter global public conversations in English and French related to COVID-19 on social media into 5 categories with 35 subcategories. The taxonomy and its implementation were validated for retrieval precision and recall, and they were reviewed and adapted as language about the pandemic in online conversations changed over time. The aggregated data for each subcategory were analyzed on a weekly basis by volume, velocity, and presence of questions to detect signals of information voids with potential for confusion or where mis- or disinformation may thrive. A human analyst reviewed and identified potential information voids and sources of confusion, and quantitative data were used to provide insights on emerging narratives, influencers, and public reactions to COVID-19–related topics. Results: A COVID-19 public health social listening taxonomy was developed, validated, and applied to filter relevant content for more focused analysis. A weekly analysis of public online conversations since March 23, 2020, enabled quantification of shifting interests in public health–related topics concerning the pandemic, and the analysis demonstrated recurring voids of verified health information. This approach therefore focuses on the detection of infodemic signals to generate actionable insights to rapidly inform decision-making for a more targeted and adaptive response, including risk communication.

40 participants is an appropriate number for most quantitative studies, but there are cases where you can recruit fewer users.

interview questions

excellent collection of how-to content

The most common tool, methods, processes, and deliverables that designers use throughout the digital product design process.