Kålltorp, Gothenburg, Sweden

martin@everydayinstitute.se

OUR METHOD: DESIGNED ACTION SAMPLING

At Everyday Institute we use Designed action sampling in our various projects. This is a scientific method particulary suited to help people improve their everyday practice. It is used by around 40,000 people who form large communities in education and in working life.
Below you find ten chapters from our handbook in Designed Action Sampling. This handbook will soon be available also in print. Ask Martin Lackéus if you are interested to get a copy of your own.

1) Designed Action Sampling – an introduction

This chapter introduces Designed Action Sampling (DAS) as a practical way to convert everyday work into reliable learning. Rather than waiting for surveys or heavy reports, DAS creates short loops: design focused actions, do them, reflect immediately, and read the pattern together. Leaders gain timely insight; teams gain agency;...

2) Historical background of DAS

This chapter outlines the journey of DAS from scrappy experiments to a lean digital layer that turns everyday actions into analyzable signals. DAS emerged from experimental research using smartphones to collect data from students at a Master's programme in entrepreneurship at Chalmers University of Technology in Sweden. You’ll see...

3) How DAS works – Design, Action, Sampling, Discussing, Analysing

Chapter 3 outlines the heartbeat of DAS. The journey starts with a nagging question, this is then turned it into a handful of doable actions. People try them in real work, jot a few fresh sentences, choose tags, mark how it felt. Study leads answer quickly, a quiet conversation...

4) Designing effective action tasks – a design craft

Design is where DAS succeeds or struggles. This chapter teaches you to turn a broad ambition into a sharp, testable focus and a small set of actions people can actually do this week or month. You’ll learn to write action titles with verbs, add four concise guide sentences (plan,...

5) Taking action, sampling the effect and discussing it

This chapter is about making it real—launch, momentum, and supportive dialogue. You’ll learn a straightforward kickoff script that explains purpose, time cost (10–15 minutes/week), and what participants get back. We start with one or two easy actions that fit ongoing work so people experience success immediately. The Sampling craft...

6) Analyzing data – formatively and summatively

Analysis in DAS serves decisions, not vanity metrics. Formatively, while data is still coming in, you’ll track a simple task-tag heatmap, watch emotion trends, and spot friction early. Summatively, you’ll build four crisp views: volume by action, top tags, emotion distribution, and the heatmap. Then you’ll read clusters of...

7) Roles and organizing DAS

Who does what, and how do we keep it humane and repeatable? This chapter maps four core roles: the study lead team (design, comments, analysis, facilitation), the sponsoring leader (legitimacy and time), participants (doing, reflecting), and an optional analysis/ethics steward. We propose a simple yearly rhythm that dovetails with...

8) Challenges of DAS — and strategies that work

Every method meets reality. This chapter names the predictable hurdles and gives tactics that practitioners actually use. Time and load: urgent work wins; counter by timeboxing, dropping low-value tasks, and embedding DAS into existing routines. Mandate and alignment: fuzzy roles breed friction; clarify purpose, decisions, and success signals—then show...

9) Psychological dynamics

DAS works through people, so mindset matters. This chapter goes deep on collegial leadership without formal authority—how to invite rather than instruct, make roles and expectations explicit, and build influence through consistent service to others’ goals. We explore motivation and buy-in: start with meaning before method, make progress visible...

10) Theoretical foundations—made practical

This chapter ties DAS to five pillars and translates each into practice. Clinical experimentation: help before measurement; run tiny, context-specific interventions; replicate across settings; keep ethics and consent explicit. Pragmatism and abduction: start with the problem, treat hypotheses as prototypes, shuttle between ideals and constraints, and let emergent patterns...