resources on diary studies

In this paper, we describe how PSI's qualitative research program developed from 2003 to 2013, and how using an interpretive approach and more appropriate data collection methods improved our consumer insight and marketing planning process.

original “jobs to be done“ article from 2008

So how is it done? We’ve found that all jobs have the same eight steps. To use job mapping, we look for opportunities to help customers at every step:

There are a few enormous benefits to using challenge maps. First, challenge maps help teams surface the key decision points that will have the greatest potential impact, both for users and the business. Challenge maps also help teams get aligned and on the same page about the most impactful next step. Finally, and maybe most importantly, challenge maps help teams see where their thinking has been too limited, inspire fresh thinking, and unlock innovation.

The Data Playbook Beta is a recipe book or exercise book with examples, best practices, how to's, session plans, training materials, matrices, scenarios, and resources. The data playbook will provide resources for National Societies to develop their literacy around data, including responsible data use and data protection. The content aims to be visual, remixable, collaborative, useful, and informative. There are nine modules, 65 pieces of content, and a methodology for sharing curriculum across all the sectors and networks. Material has been compiled, piloted, and tested in collaboration with many contributors from across IFRC and National Societies. Each module has a recipe that puts our raw materials in suggested steps to reach a learning objective. To help support you in creating your own recipe, we also include a listing of 'ingredients' for a topic, organised by type:

research on health comm messaging effects

How to conduct user research for systems with confidential or otherwise sensitive data, for example in domains like healthcare or financial services, where it can be problematic to record screens or otherwise share the user's information.

Summary: Exposure to a stimulus influences behavior in subsequent, possibly unrelated tasks. This is called priming; priming effects abound in usability and web design.

This idea, that five to eight users will reveal 85% of all usability problems, is an old myth. It’s not true. It’s never been true.

This guidebook helps media professionals of small media houses develop a better understanding of how to use data for improving their social media performance. Also includes worksheets and templates.

Version 2: https://www.youtube.com/watch?v=SYk29tnxASs Every field in science uses the same, old, wall-of-text poster design. If we can improve the knowledge transfer efficiency of that design even by a little bit, it could have massive ripple effects on all of science. Also, poster sessions tend to suck, so here's my pitch to make them more efficient AND more fun with a new approach to designing scientific posters/academic posters that is both more usable, and easier to create!

Breakthrough ACTION has distilled guidance on social and behavior change (SBC) monitoring methods into a collection of technical notes. Each note provides an overview of a monitoring method that may be used for SBC programs along with a description of when to use the method and its strengths and weaknesses.

Here we show that materials science knowledge present in the published literature can be efficiently encoded as information-dense word embeddings11,12,13 (vector representations of words) without human labelling or supervision. Without any explicit insertion of chemical knowledge, these embeddings capture complex materials science concepts such as the underlying structure of the periodic table and structure–property relationships in materials. Furthermore, we demonstrate that an unsupervised method can recommend materials for functional applications several years before their discovery. This suggests that latent knowledge regarding future discoveries is to a large extent embedded in past publications. Our findings highlight the possibility of extracting knowledge and relationships from the massive body of scientific literature in a collective manner, and point towards a generalized approach to the mining of scientific literature.

We applied a Hidden Markov Model* (see Figure 1) to examine how and why behaviours did or did not change. The longitudinal repeated measure design meant we knew about food waste behaviour at two points (the amount of food wasted before and after the program), changes in the amount of food wasted reported over time for each household (more or less food wasted) and other factors (e.g. self-efficacy). By using a new method we could extend our understanding beyond the overall effect (households in the Waste Not Want Not program group wasted less food after participating when compared to the control group).

Toolkits for design, research, creativity