🎯 Satisfaction Analysis

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

Generated June 13, 2026 · 90 sessions · avg 8.75/10

8.75
Mean Satisfaction
10.6%
Variance Explained (R²)
Depth
Top Predictor
9.06
Top 20% Avg
8
Bottom 20% Avg

💡 Recommendations

🏆 Ambition is the biggest differentiator: top sessions avg 96 vs bottom 65 (Δ+31)
🎯 Keep depth in the 100-100 range (avg sat 8.9/10 there, r=+0.292)
🤝 Maximize depth and flow together — they have synergy (both high → 8.8/10 avg satisfaction)
📈 Recently, ambition and flow drive satisfaction most (phase R²=0.10)

📊 What Predicts Satisfaction?

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

Depth
ΔR²=0.085
r=+0.292
Flow
ΔR²=0.015
r=-0.118
Consistency
ΔR²=0.005
r=-0.022

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

90–100 → 8.9/10
r = +0.125
8.6
8.8
8.9
8.7
8.9

Ambition

48–56 → 8.9/10
r = +0.020
8.7
8.9
8.6
8.8
8.7

Depth

100–100 → 8.9/10
r = +0.292
8.5
8.7
8.9
8.8
8.8

Growth

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

Variety

94–100 → 8.9/10
r = +0.037
8.7
8.7
8.8
8.9
8.7

Flow

55–66 → 8.9/10
r = -0.118
8.8
8.9
8.8
8.6
8.8

Consistency

73–78 → 8.9/10
r = -0.022
8.7
8.9
8.8
8.8
8.6

🏆 Top 20% vs Bottom 20%

DNA profile comparison between the 18 highest-satisfaction sessions (avg 9.06/10) and 18 lowest (avg 8/10).

Ambition
96
65
▲ 31 (d=+1.21)
Consistency
86
77
▲ 9 (d=+0.87)
Flow
69
76
▼ 7 (d=-0.56)
Variety
96
93
▲ 4 (d=+0.43)
Depth
96
95
▲ 1 (d=+0.22)
Productivity
92
91
▲ 1 (d=+0.10)
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.

⚔️ Depth × Variety -0.40
Both ↑ 8.7 n=31
Depth↑ Variety↓ 8.9 n=32
Depth↓ Variety↑ 8.7 n=14
Both ↓ 8.5 n=13
🤝 Depth × Flow +0.23
Both ↑ 8.8 n=35
Depth↑ Flow↓ 8.8 n=28
Depth↓ Flow↑ 8.4 n=11
Both ↓ 8.7 n=16
⚔️ Productivity × Variety -0.23
Both ↑ 8.7 n=22
Productivity↑ Variety↓ 8.8 n=27
Productivity↓ Variety↑ 8.7 n=23
Both ↓ 8.6 n=18
⚔️ Variety × Consistency -0.22
Both ↑ 8.6 n=25
Variety↑ Consistency↓ 8.8 n=20
Variety↓ Consistency↑ 8.8 n=22
Both ↓ 8.8 n=23
⚔️ Variety × Flow -0.22
Both ↑ 8.6 n=16
Variety↑ Flow↓ 8.8 n=29
Variety↓ Flow↑ 8.8 n=30
Both ↓ 8.7 n=15
🤝 Productivity × Consistency +0.20
Both ↑ 8.8 n=20
Productivity↑ Consistency↓ 8.8 n=29
Productivity↓ Consistency↑ 8.6 n=27
Both ↓ 8.8 n=14

📈 How Satisfaction Drivers Change Over Time

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

Early

S6-S59
8.67/10 R²=0.24
① Ambition ② Consistency ③ Productivity
Prod
+0.28
Ambi
+0.40
Dept
+0.33
Grow
+0.00
Vari
+0.17
Flow
-0.11
Cons
+0.09

Middle

S60-S89
8.72/10 R²=0.29
① Flow ② Consistency ③ Variety
Prod
-0.13
Ambi
+0.29
Dept
+0.25
Grow
+0.00
Vari
+0.05
Flow
-0.45
Cons
+0.16

Recent

S90-S119
8.87/10 R²=0.10
① Ambition ② Flow ③ Consistency
Prod
+0.06
Ambi
-0.29
Dept
+0.00
Grow
+0.00
Vari
-0.07
Flow
-0.26
Cons
-0.27

📂 By Category

mixed

8.76/10 n=68 ±0.45
Top driver: Depth (R²=0.10)

building

8.75/10 n=20 ±0.44
Top driver: Ambition (R²=0.41)

writing

8.5/10 n=2 ±0.71