🎯 Satisfaction Analysis

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

Generated September 9, 2026 · 167 sessions · avg 8.66/10

8.66
Mean Satisfaction
5.6%
Variance Explained (R²)
Depth
Top Predictor
9.03
Top 20% Avg
8.05
Bottom 20% Avg

💡 Recommendations

🏆 Ambition is the biggest differentiator: top sessions avg 89 vs bottom 68 (Δ+21)
🎯 Keep depth in the 100-100 range (avg sat 8.9/10 there, r=+0.169)
📈 Recently, consistency and flow drive satisfaction most (phase R²=0.16)
🤝 Maximize productivity and flow together — they have synergy (both high → 8.6/10 avg satisfaction)

📊 What Predicts Satisfaction?

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

Depth
ΔR²=0.029
r=+0.169
Flow
ΔR²=0.022
r=-0.129
Ambition
ΔR²=0.006
r=+0.078

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 = +0.082
8.6
8.6
8.6
8.8
8.7

Ambition

96–100 → 8.7/10
r = +0.078
8.6
8.7
8.7
8.6
8.7

Depth

100–100 → 8.9/10
r = +0.169
8.6
8.7
8.9
8.6
8.6

Growth

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

Variety

94–100 → 8.8/10
r = +0.081
8.6
8.7
8.6
8.7
8.7

Flow

60–73 → 8.8/10
r = -0.129
8.7
8.7
8.7
8.6
8.6

Consistency

68–76 → 8.8/10
r = -0.001
8.6
8.7
8.7
8.7
8.6

🏆 Top 20% vs Bottom 20%

DNA profile comparison between the 33 highest-satisfaction sessions (avg 9.03/10) and 33 lowest (avg 8.05/10).

Ambition
89
68
▲ 21 (d=+0.87)
Flow
65
73
▼ 8 (d=-0.50)
Variety
95
90
▲ 5 (d=+0.46)
Productivity
92
88
▲ 4 (d=+0.33)
Consistency
81
77
▲ 4 (d=+0.35)
Depth
97
96
▲ 1 (d=+0.17)
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 × Consistency -0.34
Both ↑ 8.6 n=53
Depth↑ Consistency↓ 8.8 n=73
Depth↓ Consistency↑ 8.6 n=31
Both ↓ 8.4 n=10
⚔️ Ambition × Depth -0.22
Both ↑ 8.7 n=53
Ambition↑ Depth↓ 8.6 n=31
Ambition↓ Depth↑ 8.7 n=73
Both ↓ 8.4 n=10
⚔️ Productivity × Variety -0.19
Both ↑ 8.7 n=84
Productivity↑ Variety↓ 8.7 n=42
Productivity↓ Variety↑ 8.7 n=17
Both ↓ 8.6 n=24
⚔️ Depth × Variety -0.17
Both ↑ 8.7 n=82
Depth↑ Variety↓ 8.7 n=44
Depth↓ Variety↑ 8.6 n=19
Both ↓ 8.5 n=22
🤝 Productivity × Flow +0.12
Both ↑ 8.6 n=65
Productivity↑ Flow↓ 8.7 n=61
Productivity↓ Flow↑ 8.5 n=22
Both ↓ 8.7 n=19
⚔️ Variety × Flow -0.11
Both ↑ 8.6 n=49
Variety↑ Flow↓ 8.7 n=52
Variety↓ Flow↑ 8.6 n=38
Both ↓ 8.7 n=28

📈 How Satisfaction Drivers Change Over Time

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

Early

S6-S84
8.66/10 R²=0.14
① Depth ② Ambition ③ Variety
Prod
+0.08
Ambi
+0.28
Dept
+0.29
Grow
+0.00
Vari
+0.16
Flow
-0.18
Cons
+0.14

Middle

S85-S139
8.74/10 R²=0.04
① Productivity ② Ambition
Prod
+0.17
Ambi
-0.09
Dept
+0.00
Grow
+0.00
Vari
+0.01
Flow
-0.12
Cons
-0.12

Recent

S140-S213
8.58/10 R²=0.16
① Consistency ② Flow ③ Productivity
Prod
-0.20
Ambi
-0.23
Dept
+0.01
Grow
+0.00
Vari
-0.03
Flow
-0.22
Cons
-0.33

📂 By Category

mixed

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

building

8.62/10 n=58 ±0.31
Top driver: Ambition (R²=0.20)

writing

8.57/10 n=17 ±0.35
Top driver: Variety (R²=0.62)