Question
What goes wrong when you ignore that the experiment backlog?
Quick Answer
The most common failure is treating the backlog as a to-do list — feeling pressure to run every experiment on it and experiencing guilt about the ones you never get to. A backlog is not a commitment device; it is a capture and prioritization tool. Its value comes from having more ideas than you.
The most common reason fails: The most common failure is treating the backlog as a to-do list — feeling pressure to run every experiment on it and experiencing guilt about the ones you never get to. A backlog is not a commitment device; it is a capture and prioritization tool. Its value comes from having more ideas than you can execute, which forces you to choose the highest-value experiments rather than whatever occurs to you in the moment. The second failure is never grooming the backlog — adding ideas indefinitely without removing, updating, or reprioritizing. An ungroomed backlog becomes a graveyard of stale ideas that you stop consulting because it no longer reflects your current interests or circumstances. The third failure is over-engineering the system: building elaborate spreadsheets with dozens of fields, color-coded priority matrices, and automated scoring algorithms before you have run a single experiment from it. Start with five fields and a flat list. Add complexity only when simplicity becomes a bottleneck.
The fix: Create your experiment backlog right now. Open a document, spreadsheet, or note — whatever format you will actually maintain. Title it "Experiment Backlog" and create five columns or fields: Hypothesis (one sentence stating what you predict), Domain (which life area this targets — work, health, relationships, cognition, finances, habits), Estimated Effort (low, medium, or high — how much disruption or setup is required), Expected Learning Value (low, medium, or high — how much useful information you expect to gain regardless of outcome), and Status (queued, active, completed, or abandoned). Now populate it. Write down every behavioral experiment you have been thinking about running, have half-started, or have seen someone else try and thought "I should test that." Aim for at least seven entries. Do not filter for quality — capture everything, including ideas that feel silly or obvious. Once you have your initial list, sort the entries by expected learning value, breaking ties by lower effort. Circle or highlight the top three. Finally, identify one experiment from your top three that you could begin within the next seven days and write a concrete start date next to it. You now have a functioning backlog. The next step is to schedule a monthly grooming session — fifteen minutes to add new ideas, remove stale ones, and re-sort priorities.
The underlying principle is straightforward: Maintain a list of behavioral experiments you want to run.
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