ADHD working memory remains vulnerable to interference.
You need an instant capture system to log thoughts on the spot. Delays invite disaster. A single distraction can wipe out an idea before you write it down.
ADHD working memory remains vulnerable to interference.
You need an instant capture system to log thoughts on the spot. Delays invite disaster. A single distraction can wipe out an idea before you write it down.
Struggling with invisible deadlines? Stop relying on mental schedules.
Under stress, the mind drops time-related tasks.
Draw a physical timeline. Make the abstract sequence concrete.
Considerations on cognitive load and organisational structure in sociotechnical systems.
A blog by Martijn Ras
In this article we present our rule of thumb for the sizing of solutions based on what an organisation can handle. Our primary goal is to make you aware of cognitive load theory and sociological considerations on organisational structure. Be...
#dev #softwaredevelopment #TeamTopologies #Cognitiveload #Sociotechnicalsystems #Domain-drivendesign #Agilescaling

In this article we present our rule of thumb for the sizing of solutions based on what an organisation can handle. Our primary goal is to make you aware of cognitive load theory and sociological consi
Designing for people with anxiety
"Most of us will experience anxiety at some point, sometimes triggered by a stressful moment, other times as a chronic condition. By taking thoughtful, intentional steps, we can ensure our designs at the most reduce stress, and the very least, do not contribute to or amplify it further."
https://tetralogical.com/blog/2026/03/10/designing-for-people-with-anxiety/
#webDesign #inclusiveDesign #cognitiveLoad #userExperience #WCAG
Most of us will experience anxiety at some point, sometimes triggered by a stressful moment, other times as a chronic condition. By taking thoughtful, intentional steps, we can ensure our designs at the most reduce stress, and the very least, do not contribute to or amplify it further.
"Instead of simply typing a message to your friend and pressing the send button, you have to spend some cognitive energy trying to remember which messaging app that friend prefers to use, then switch to that app, find the message thread, THEN you can pick up the conversation."
@Adam, 2022
(1/?)
AI Doesn’t Reduce Work—It Intensifies It https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it
“AI introduced a new rhythm in which workers managed several active threads at once: manually writing code while AI generated an alternative version, running multiple agents in parallel, or reviving long-deferred tasks because AI could “handle them” in the background. They did this, in part, because they felt they had a “partner” that could help them move through their workload.
While this sense of having a “partner” enabled a feeling of momentum, the reality was a continual switching of attention, frequent checking of #AI outputs, and a growing number of open tasks. This created #cognitiveload and a sense of always juggling
… What looks like higher #productivity in the short run can mask silent workload creep and growing cognitive strain as employees juggle multiple AI-enabled workflows
… overwork can impair judgment, increase the likelihood of errors, and make it harder for organizations to distinguish genuine productivity gains from unsustainable intensity
… the cumulative effect is fatigue, #burnout, and a growing sense that work is harder to step away from, especially as organizational expectations for speed and responsiveness rise."
#LaborEcon

One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.