🎯 Satisfaction Analysis

What makes a session great? Regression analysis, interaction effects, and sweet spots.

Generated August 12, 2026 · 137 sessions · avg 8.68/10

8.68
Mean Satisfaction
6.3%
Variance Explained (R²)
Depth
Top Predictor
9.04
Top 20% Avg
7.96
Bottom 20% Avg

💡 Recommendations

🏆 Ambition is the biggest differentiator: top sessions avg 97 vs bottom 70 (Δ+28)
🎯 Keep depth in the 100-100 range (avg sat 8.9/10 there, r=+0.188)
🤝 Maximize productivity and consistency together — they have synergy (both high → 8.8/10 avg satisfaction)
📈 Recently, consistency and productivity drive satisfaction most (phase R²=0.08)

📊 What Predicts Satisfaction?

Stepwise regression adds components by marginal R² contribution. Higher bars = more unique predictive power after accounting for other components.

Depth
ΔR²=0.035
r=+0.188
Flow
ΔR²=0.022
r=-0.123
Consistency
ΔR²=0.006
r=+0.018

Note: Only components with ΔR² ≥ 0.005 are shown. Correlation (r) shows raw relationship; ΔR² shows unique explanatory power after accounting for other predictors.

🎯 Sweet Spots

Optimal ranges for each DNA component that maximize satisfaction. Based on sliding window analysis across all sessions.

Productivity

100–100 → 8.8/10
r = +0.095
8.6
8.7
8.7
8.7
8.7

Ambition

96–100 → 8.8/10
r = +0.082
8.6
8.7
8.8
8.6
8.7

Depth

100–100 → 8.9/10
r = +0.188
8.6
8.7
8.8
8.7
8.6

Growth

100–100 → 8.9/10
r = +0.000
8.7
8.7
8.8
8.7
8.6

Variety

94–100 → 8.8/10
r = +0.070
8.6
8.7
8.7
8.8
8.6

Flow

55–66 → 8.8/10
r = -0.123
8.7
8.8
8.7
8.7
8.5

Consistency

69–76 → 8.8/10
r = +0.018
8.6
8.7
8.8
8.7
8.6

🏆 Top 20% vs Bottom 20%

DNA profile comparison between the 27 highest-satisfaction sessions (avg 9.04/10) and 27 lowest (avg 7.96/10).

Ambition
97
70
▲ 28 (d=+1.13)
Flow
66
73
▼ 7 (d=-0.49)
Consistency
84
78
▲ 6 (d=+0.64)
Variety
96
91
▲ 4 (d=+0.47)
Productivity
92
90
▲ 2 (d=+0.17)
Depth
97
96
▲ 1 (d=+0.34)
Growth
100
100
▲ 0 (d=+0.00)

🔀 Interaction Effects

How pairs of DNA components interact to affect satisfaction. Synergy means both high is better than expected; antagonism means they work against each other.

🤝 Productivity × Consistency +0.12
Both ↑ 8.8 n=29
Productivity↑ Consistency↓ 8.7 n=42
Productivity↓ Consistency↑ 8.6 n=40
Both ↓ 8.7 n=26
⚔️ Ambition × Variety -0.11
Both ↑ 8.7 n=41
Ambition↑ Variety↓ 8.7 n=30
Ambition↓ Variety↑ 8.7 n=35
Both ↓ 8.6 n=31
⚔️ Productivity × Variety -0.11
Both ↑ 8.8 n=40
Productivity↑ Variety↓ 8.7 n=31
Productivity↓ Variety↑ 8.7 n=36
Both ↓ 8.5 n=30
⚔️ Productivity × Depth -0.10
Both ↑ 8.8 n=61
Productivity↑ Depth↓ 8.7 n=10
Productivity↓ Depth↑ 8.7 n=40
Both ↓ 8.5 n=26
⚔️ Variety × Consistency -0.10
Both ↑ 8.7 n=35
Variety↑ Consistency↓ 8.8 n=41
Variety↓ Consistency↑ 8.6 n=34
Both ↓ 8.6 n=27
⚔️ Depth × Variety -0.09
Both ↑ 8.8 n=59
Depth↑ Variety↓ 8.7 n=42
Depth↓ Variety↑ 8.7 n=17
Both ↓ 8.5 n=19

📈 How Satisfaction Drivers Change Over Time

Sessions split into three phases. Satisfaction drivers shift as the practice matures.

Early

S6-S74
8.7/10 R²=0.24
① Depth ② Ambition ③ Flow
Prod
+0.20
Ambi
+0.33
Dept
+0.38
Grow
+0.00
Vari
+0.26
Flow
-0.34
Cons
+0.12

Middle

S75-S119
8.77/10 R²=0.12
① Ambition ② Productivity ③ Depth
Prod
-0.06
Ambi
-0.27
Dept
+0.24
Grow
+0.00
Vari
-0.04
Flow
+0.11
Cons
-0.11

Recent

S120-S184
8.58/10 R²=0.08
① Consistency ② Productivity ③ Depth
Prod
+0.10
Ambi
-0.07
Dept
-0.12
Grow
+0.00
Vari
+0.01
Flow
-0.14
Cons
-0.20

📂 By Category

mixed

8.7/10 n=92 ±0.46
Top driver: Depth (R²=0.06)

building

8.66/10 n=37 ±0.37
Top driver: Flow (R²=0.26)

writing

8.56/10 n=8 ±0.42
Top driver: Depth (R²=0.78)