Every design decision in IdeaFlow is grounded in research on motivation, memory, and behaviour change. Here are the eight findings that shaped the product.
01
Zeigarnik Effect — unfinished tasks stay alive in your head
Zeigarnik 1927; Masicampo & Baumeister 2011
Uncompleted tasks occupy working memory at roughly twice the intensity of completed ones. The mind generates intrusive thoughts to keep the task accessible — not to punish you, but to ensure retrieval. The 2011 extension found that simply making a concrete plan — without acting — quiets the intrusion almost as effectively as completing the task.
In IdeaFlow: IdeaFlow surfaces one "do next" per idea instead of dumping every open task at once. A single trusted next step closes the cognitive loop.
02
Progress Principle — small wins compound
Amabile & Kramer, 12,000-diary study, 2011
The single strongest predictor of good inner work life is making progress on meaningful work — even tiny incremental progress. Setback days have disproportionately negative impact for days afterward. The asymmetry matters: a small win does not fully counteract a perceived setback of equal size.
In IdeaFlow: Task views lead with completed work before showing pending items. "3 tasks done this week" before "2 tasks remaining."
03
Goal Gradient Effect — artificial head starts drive completion
People accelerate effort as they approach a goal. Giving people a head start — even an artificial one — dramatically increases completion rates by compressing perceived distance. Pre-filling 2/12 loyalty card boxes nearly doubles completion versus starting at 0/12.
In IdeaFlow: When IdeaFlow generates a task list after a grounding conversation, the "define the problem" task is marked implicitly done. Progress doesn't start at zero.
04
Self-Determination Theory — autonomy is the engine of motivation
Deci & Ryan 1985, 2000
Three innate needs predict intrinsic motivation: autonomy (feeling like the author of your actions), competence (feeling capable), and relatedness (connection to meaningful purpose). Tools that undermine autonomy — by being prescriptive or tracking failures — shift motivation from intrinsic to controlled, reducing engagement and creative risk-taking.
In IdeaFlow: The coach offers options, never directives. Status changes are always user-initiated. Follow-up prompts are forward-looking: "ready to pick this back up?" — not backward-looking: "you haven't opened this in 14 days."
05
Cognitive Load — too many tasks cause choice paralysis
Sweller 1988; Iyengar & Lepper jam experiment, 2000
Working memory holds roughly 4 ± 1 chunks simultaneously. More options than this causes paralysis and disengagement. The jam experiment showed more options reduced both decision-making rates and satisfaction with the decision made. In task lists: 20+ items produces measurably worse follow-through than 3–5 prioritised items.
In IdeaFlow: Default task view shows three tasks maximum. The AI selects priority — you shouldn't have to decide which task to do next. Remaining tasks collapse into an "upcoming" section.
06
Self-Compassion & Fresh Start Effect — language shapes behaviour
Harsh self-labelling ("overdue," "missed") activates the same neural threat response as interpersonal criticism, triggering avoidance instead of approach. Labelling a lapsed behaviour as a "fresh start" at natural temporal boundaries significantly increases re-engagement rates.
In IdeaFlow: IdeaFlow never uses the word "overdue." Deferred tasks are "carrying forward." On Monday mornings: "You have 4 tasks carrying into this week — want to review them?"
07
Implementation Intentions — when-then plans are executed
Gollwitzer 1999; meta-analysis of 94 studies, effect size d=0.65
Forming an implementation intention — "When X happens, I will do Y" — more than doubles follow-through on intentions versus goal-setting alone. The effect is robust across health, academic, and work domains.
In IdeaFlow: Follow-up nudges are timed, not vague. "Your follow-up for [idea] is set for Thursday at 9am" is more effective than "you should revisit this soon."
08
Structured Procrastination — use momentum, not discipline
Perry 1996; Steel meta-analysis, Psychological Bulletin, 2007
People procrastinate on task A by completing task B, C, and D. Steel's meta-analysis identified that task aversion — not time preference — is the primary driver. Any progress on meaningful sub-goals reduces total procrastination time.
In IdeaFlow: When a user opens an idea in Execution phase and can't face the top task, IdeaFlow surfaces an alternative task from the same idea. Moving something forward beats moving nothing forward.
See these principles in action
IdeaFlow applies all eight findings in a coaching pipeline that takes ideas from captured to shipped.