Skip to main content
The SciencePricingJournal

Tracking Cravings: How, Why, and What the Data Tells You

Craving logs are not just accountability tools. They reveal patterns invisible to unaided memory that transform into actionable strategy.

January 23, 2025·2 min read

The craving log in the Relapsd app is the most underused feature by new users and the most valued feature by experienced ones. The reason is simple: cravings feel undifferentiated in the moment. The log reveals structure that isn't visible when you're inside them.

What to Log

Time of day: The first and most reliable pattern that emerges. Most users have 2-3 predictable craving windows.

Trigger: What preceded the craving? Context (location), emotional state, activity, social situation. "Stressed" is too vague-"received a difficult email at 2pm" is useful.

Intensity (1-10): Absolute intensity relative to your worst craving experience.

Duration: How long from onset to resolution? This will surprise you-most cravings are shorter than remembered.

Outcome: Resisted, partial (used less than craving demanded), relapsed.

What worked: If you resisted-what did you do? Cold water, walk, called someone, used the app protocol?

What the Data Reveals

Time patterns: After 2 weeks, most users can identify their peak craving windows with 30-minute precision. These windows can be proactively defended-supplements timed to their onset, activities planned during them, availability of support during those hours.

Trigger hierarchy: Which triggers produce 8-10/10 cravings? Which produce 3-5/10? The high-intensity triggers need specific, prepared responses. Low-intensity triggers can be managed with general tools.

Duration reality: New quitters routinely overestimate craving duration. The average craving in the log is 6-12 minutes. This data, visible in the log, is one of the most useful reassurances during a difficult craving.

Intensity trajectory: Charting craving intensity over weeks reveals the pattern of recovery-typically high and frequent in week 1, declining but intense in week 2, lower frequency in weeks 3-4. Seeing this trend in your own data is motivating in a way that reading about the general pattern is not.

What works for you: The outcome data identifies your personal most effective interrupt strategies. What works varies significantly between individuals.

The Review Protocol

Weekly review (5 minutes every Sunday):

  1. What were my top 3 triggers this week?
  2. Which time windows were highest-risk?
  3. What was my average craving intensity vs. last week?
  4. What one thing will I do differently next week based on this data?

This is cessation management, not passive endurance. You are working on a specific problem with real data. The log is your primary instrument.