Turning Productivity Research Into Product Ideas With AI
Turning Productivity Research Into Product Ideas With AI
Research Becomes Useful When It Changes Behavior
Productivity research and books become useful for product work only when they change a real behavior. AI can help translate principles into options, but the chain should stay grounded in user situations.
From Principle To Product Support
It is easy to read a productivity book, highlight good ideas, and change nothing. It is also easy to ask AI for product features and get a list of generic suggestions.
The better workflow is slower and clearer:
principle -> real situation -> behavior -> product support
For example, "next actions" becomes a real situation: a user writes fix finances. The behavior we want is rewriting it into download bank statement. Product support can then be evaluated from that concrete moment.
This workflow keeps inspiration from becoming generic feature brainstorming.
Four Questions For Applying A Principle
For each principle, ask:
- What real problem does this solve?
- What would the user do differently?
- Where in the product would that behavior happen?
- How could the product help without adding clutter?
Examples
Principle:
Make the next action visible.
User situation:
The task title is too broad to start.
Behavior:
Rewrite the task into a concrete next action.
Product support:
Offer examples or editing prompts when a task title is too broad.
Practical Takeaway
Ask AI for translations, not just ideas: "Given this principle, what user situation would make it matter?" Then decide whether the product should solve it with interface, education, defaults, or no change.
Common Mistakes
Do not turn every good idea into a feature. Some ideas belong in education, onboarding, or examples, not interface complexity.
Use FocusToday
When reading or learning, create tasks that apply one principle in your real life. Knowledge becomes useful when it changes a next action.
Sources And Influences
Influenced by product discovery, Getting Things Done, Atomic Habits, and systems thinking.