The Reality of Goal Achievement
What the numbers tell us
Abandon resolutions by end of February*
Quit within the first week*
Actually achieve their resolutions*
But here's the good news:
Process goals work 15 times better than outcome goals
Decades of research reveal what actually works in goal achievement. Here's what the science says about building lasting habits and reaching your goals.
Tend means to care for something with patience. We built this for people who want to make progress—not feel bad about the days they don't.
Three research-backed principles for goal success
Research finding: Process goals produce an effect size 15 times larger than outcome goals.1 Focus on daily behaviors you can control, not distant results.
Research finding: People who showed self-compassion after eating doughnuts ate less than half as much candy afterward compared to those who criticized themselves.2
Understanding the abandonment timeline
Week 1
First week
Peak dropout day
Strava data, mid-January
End of Feb
Most quit
Success
Actually achieve
"Get fit" is harder to track than "Work out 3x per week"
All-or-nothing mindset triggers complete abandonment after one miss
Guilt-inducing approaches trigger shame spirals and abandonment
Research-backed strategies with proven results
Medium effect - noticeable difference
Large effect - big, meaningful difference
Small effect - barely noticeable
Daily check-ins produce 4x better results than weekly tracking alone.3
The Risk:
Rigid streaks can trigger total abandonment when broken
The Solution:
Streak forgiveness or skip days prevent complete abandonment after one miss
Follow these steps to create goals that you'll actually achieve
Practical strategies to keep your momentum going
Every feature is designed based on what actually works
Start tracking your goals with a system designed around what actually works.
Resolution statistics: ~80% abandon by February and ~9% achieve goals (Norcross, J. C., & Vangarelli, D. J., 1989; Norcross et al., 2002). First-week dropout ~23% (Strava “Quitter’s Day” and similar fitness app data).
Norcross, J. C., & Vangarelli, D. J. (1989). The resolution solution. Journal of Clinical Psychology. Strava annual reports on resolution dropout.
Process goals vs. outcome goals: Meta-analyses in sport and exercise psychology find process goals produce much larger effect sizes (d ≈ 1.2–1.4) than outcome goals (d ≈ 0.09).
Kyllo, W. B., & Landers, D. M. (1995). Goal setting in sport and exercise: A research synthesis. Journal of Sport & Exercise Psychology, 17(2), 117–137. Locke & Latham (2002) for goal-setting meta-analyses.
Self-compassion research: Studies by Breines & Chen (2012) and others demonstrate that self-compassionate responses to setbacks predict greater personal improvement compared to self-critical responses.
Breines, J. G., & Chen, S. (2012). Self-compassion increases self-improvement motivation. Personality and Social Psychology Bulletin.
Daily vs. weekly tracking: Meta-analysis shows daily goals (d = 0.600) and daily-plus-weekly goals (d = 0.947) dramatically outperform weekly goals alone (d = 0.152).
McEwan et al. (2016) meta-analysis of goal-setting for physical activity.
Visual progress tracking: Progress monitoring increases goal attainment (effect size d ≈ 0.40) compared to mental tracking alone.
Harkin, B., et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis. Psychological Bulletin, 142(2), 198–229.
Goal conflict: Goal conflict correlates with psychological distress (r = .34) and reduced well-being.
Emmons, R. A., & King, L. A. (1988). Conflict among personal strivings: Immediate and long-term implications for psychological and physical well-being. Journal of Personality and Social Psychology, 54(6), 1040–1048.
Flexible vs. rigid tracking: Rigid, all-or-nothing tracking can trigger complete abandonment after a perceived failure (counter-regulation effect). Flexible systems and streak forgiveness reduce this risk.
Cochran, W., & Tesser, A. (1996). The “what the hell” effect: Some effects of goal proximity and goal framing on performance. In L. L. Martin & A. Tesser (Eds.), Striving and feeling (pp. 99–120). Erlbaum. See also Herman & Polivy (1975) on restraint and disinhibition.
For further reading: Implementation intentions (“if-then” planning): Gollwitzer & Sheeran (2006) meta-analysis (d ≈ 0.65 across 94 studies). Not currently a Tend feature.
Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in Experimental Social Psychology, 38, 69–119.
About Effect Sizes (d values):
Effect sizes tell us how much better one method works compared to another: