Task Bank: The Research

Every time an ADHD user sits down to plan their day, they face a cascade of executive function demands: recall what needs doing, estimate how long each task takes, sequence them in a reasonable order, and hold all of this in working memory long enough to act on it. For brains with documented deficits in working memory and prospective memory (remembering to do things at the right time), this cascade is where most planning attempts fail.

Russell Barkley's model of ADHD executive function identifies prospective memory as a core impairment. The brain doesn't fail at the task itself. It fails at holding the intention to do the task long enough to initiate it. This is why ADHD users often know exactly what they need to do but still can't start.

Cognitive offloading is the practice of storing information in the external environment rather than holding it in working memory. A 2016 review in Trends in Cognitive Sciences established that humans naturally offload to reduce cognitive demand, and that the benefit is greatest for individuals with lower working memory capacity.

The Task Bank is cognitive offloading as infrastructure. Instead of recalling and re-estimating tasks from scratch every day, the system saves tasks you've done before with their time estimates. Your planning session starts with recognition ("yes, I need to do that again") rather than recall ("what was that thing I needed to do?"). Recognition is dramatically easier than recall for all brains, but especially for ADHD brains where recall is compromised.

Tasks auto-populate from recent history. There's no manual effort required to build the bank. Use the app, and the bank builds itself.

No study has directly compared "task bank scheduling versus ad hoc planning" for ADHD productivity outcomes. The evidence supporting the Task Bank is inferential: cognitive offloading reduces working memory demand (established), ADHD involves working memory deficits (established), therefore offloading tools should disproportionately benefit ADHD users (logical but untested directly).

Similarly, no study has tested whether auto-populating tasks from recent history improves planning adherence compared to manual entry. The design logic is sound, but the specific implementation has not been validated in a controlled trial.

Ebbi's usage data may eventually provide the first direct evidence for this approach. Until then, we are transparent about the gap between the supporting research and the specific feature design.