Updated · 1 episodes · 1 show · 1 source notes
Maya Shankar
Overview
Maya Shankar is a researcher credited in the goal-setting episode with the “middle problem” framing for motivation that falls between a salient beginning and endpoint.
Current Profile
In Goals Toolkit: How to Set & Achieve Your Goals, Shankar’s contribution is used to explain why motivation can sag in the middle of a work session, week, or 12-week cycle. The practical response is to acknowledge the pattern and divide the middle into smaller consecutive chunks rather than interpret it automatically as evidence that the goal is wrong.
Key Characteristics
- Supplies a temporal account of changing motivation during pursuit.
- Connects the same middle-stage pattern across sessions, weeks, and longer cycles.
- Supports chunking as a practical response to lower-salience middle periods.
Evidence
- Middle-problem attribution - Goals Toolkit: How to Set & Achieve Your Goals credits Shankar for the pattern and its application across several goal timescales.
Qualifications
The supplied note does not give a study citation, sample, effect size, or boundary conditions. Chunking is a practical response in this source, not proof that every motivation dip has the same cause.
What Changed
- Added the researcher credited for the episode’s middle-stage motivation framework.
Relationships
- Goal Pursuit Behavior Design - larger framework that incorporates middle-stage chunking.
- Motivation Reward-Effort Calculation - adjacent account of why a chunk may feel more actionable than an undivided task.
- Emily Balcetis - fellow psychologist whose work is cited in the same goal-pursuit toolkit.
Sources
1 source notes across 1 show
- Goals Toolkit: How to Set & Achieve Your Goals Huberman Lab