EMPATHIZE → DEFINE → TEST · SURVEY v2 RESULTS · n = 134 kept of 150
What the survey says — need, content by state, wearables, product, price.
Every statistic below is produced by the pre-registered analysis pipeline: descriptives, Ulwick opportunity
scores, the McNemar test on state-dependent content preference, TAM reliabilities and betas, Kano classification, Van Westendorp price points, purchase intent — and
the likelihood ratios each pre-registered threshold triggers in the decision engine.
Exclusions: 16 attention-check fails · 0 speeders (< ⅓ median time; median 7.4 min) · wearable owners 63 (47%) · US/EU 80 · China 41 · other 13
Under-served (≥ 6): Stop racing thoughts · near threshold (5.5–6): Calm down within minutes, Not make things worse, Know it is actually working · adequately served: Almost no effort, Fall asleep faster, Discreet — not 'therapy'.
Somatic / cognitive pattern (B6)
Racing thoughts 78% · sleep 59% · racing heart 39% · chest 34% · can't stand silence/noise 18%
Triggers (B5)
Work / always reachable 67% · uncertainty 46% · money 31% · family 22% · overstimulation 19% · no specific trigger 15%
Where (B4)
Home off-hours 51% · home working 40% · office 34% · transit 13%
/ 02Block C · content by arousal state · the A1 test
Real song vs neutral sound — the answer depends on the state
C3 · "which would you most want to hear?" (within-subject, order randomised)
Real song chosen
24% → 47%
acute [17%–31%] → wind-down [39%–56%] · McNemar χ² = 14.29, p = <0.001 (b = 16, c = 47)
Neutral sound chosen
46% → 19%
GAD-2-positive segment, acute: real song 16% · neutral 49%
Value of real artists (C5, top-2)
35%
matters "a lot / extremely" — the catalogue is an asset for the wind-down job, not the acute one.
C4 · reactions when very anxious (−2 makes it worse … +2 helps) — the acoustic spec
Negatives = what the neutral-sound variant must not contain (sharp transients, beat, lyrics, low hum). Positives = slow tempo and adaptivity itself.
/ 03Block D · wearables & measurement · A3
Would they connect the watch — and does the number matter?
Owners who would connect (D1 top-2)
57%
95% CI [45%–69%] · non-owners who'd consider buying one: 21%
Value of a measured result (D4 top-2)
54%
"your heart rate settled 92 → 68"
Trust in stress / HRV score
3.06
/5 among owners · daily/weekly checkers 54%
Privacy concerned (D5 ≥ 4)
18%
heart data to a music app
The action gap (D3, owners) — what happens after a "high stress" reading
Nothing / just note it 38% · breathe 30% · walk 18% · it makes me more anxious 18% · don't look 13%
A closed-loop product lives exactly in this gap: the score exists, the action doesn't.
/ 04Block E · why use · why not
Acceptance, feature classification, form and barriers
TAM (7-pt) · α PU 0.68 · PEOU 0.68 · BI 0.75
BI top-2 25% overall · 32% owners · BI ~ PU β 0.52 + PEOU β 0.34, R² 0.64
Kano map (Better / Worse)
Feature
A
O
M
I
R
Class
Better / Worse
K1 adapts to heart rate
38
31
25
31
4
A · GAD-2+: A
0.55 / 0.45
K2 shows before/after
29
43
28
20
7
O · GAD-2+: M
0.60 / 0.59
K3 real songs, calm versions
43
4
8
48
27
I · GAD-2+: I
0.46 / 0.12
K4 neutral artifact-free sound
48
12
10
55
8
I · GAD-2+: I
0.48 / 0.18
K5 breathing cue
28
7
11
68
15
I · GAD-2+: I
0.31 / 0.16
K6 offline / no account
11
13
59
44
4
M · GAD-2+: I
0.19 / 0.57
Which form would you actually use? (E3)
Relative advantage (E4 top-2): 60% say "better / much better than what I use now".
Barriers (E5, up to 3)
/ 05Block F · how much · A4
Price sensitivity, purchase intent, payment model
Van Westendorp · US / EU (USD per month)
OPP $6.28 · IPP $7.37 · acceptable range [$5.19, $8.46] · n = 80
Van Westendorp · China (RMB per month)
OPP ¥15.47 · IPP ¥21.38 · acceptable range [¥14.16, ¥28.6] · n = 41
Purchase intent top-2 · US/EU @ $6.99
35%
discounted ×0.5 for hypothetical bias → 18%
Purchase intent top-2 · China @ ¥30
15%
probe market only
Wearable owners
30%
top-2 purchase intent
Currently paying for any app (F2)
12%
cancelled 28% · free only 44%
Preferred payment model (F9)
Bundled + employer = 33% → the C2 / B2B2C route is not a fallback, it is a preference for a large minority.
/ 06Pre-registered thresholds → likelihood ratios
What this dataset would do to the beliefs
Each row is a threshold fixed before fieldwork (survey analysis plan). The LR column is what enters the decision engine — nothing else from this page does.
Item
Node
Pre-registered rule
Observed
LR
C3 sc1
A1a
real song ≥50% → 3 · ≤35% → 0.33
24%
0.33
C3 sc2
A1b
real song ≥50% → 2 · ≤35% → 0.5
47%
1.0
C5
A1b
top-2 ≥40% → 1.3
35%
1.0
D1
A3
owners top-2 ≥60% → 2 · ≤40% → 0.5
57%
1.0
D4
A3
top-2 ≥50% → 1.3
54%
1.3
D5
A3
≥4 for >50% → 0.8
18%
1.0
E1 BI
A3
≥40% overall or ≥55% owners → 1.8
25% / owners 32%
1.0
E2 K1/K2
A3
attractive or one-dimensional → 1.5
A/O
1.5
E2 K3
A1a
reverse in GAD-2+ segment → 0.7
I
1.0
E4
A3
top-2 ≥50% → 1.5
60%
1.5
E5
A4
'another subscription' >40% → 0.8
49%
0.8
F4–F7 PSM
A4
range ∋ $6.99 → 1.5 · OPP<$4 → 0.7
[5.19, 8.46] OPP 6.28
1.5
F8
A4
US/EU top-2 ≥30% → 2 · ≤15% → 0.5
35%
2.0
F9 / E3
C2 weight
bundled+employer ≥35% or C2 ≥ C1 → raise C2
33% · C2 45% vs C1 32%
raise C2
Combined survey LR per node (product of triggered rows)
A1a ×0.33 · A1b ×1.0 · A3 ×2.92 · A4 ×2.4
These outcomes are applied by default in the decision engine (scenario "Survey as analysed"); the efficacy pilot and the legal check remain pending and are what the gates now wait for.