[ SYS.LOG ]
ingesting 45k rows from snowflake  ·  H_001 confidence ↑ 0.79 → 0.83  ·  anomaly detected in cohort 'gen_z'  ·  recalibrating trust model  ·  38% sources rejected at audit  ·  1,847 signals routed in last 60m  ·   ingesting 45k rows from snowflake  ·  H_001 confidence ↑ 0.79 → 0.83  ·  anomaly detected in cohort 'gen_z'  ·  recalibrating trust model  ·  38% sources rejected at audit  ·  1,847 signals routed in last 60m  ·  

Access to Continuous Intelligence.

Outllyr is the intelligence layer of your decisions. It is a continuous, causal, traceable engine that turns the open web into structured verdicts you can stand behind.

SIGNALS / DAY
0
speed
12X faster than surveys
audit rejection
0%
source-traced
0%
/ 01 / intake

The intake.

Unstructured briefs are parsed, normalized, and scored for structural integrity before entering the hypothesis engine.

parses any brief format
identifies missing context
scores readiness before run
brief_session · 14:22:08 SYS.TERMINAL.01
me
Why is our Gen-Z share dropping? They seem to like the product but drop off mid-way.
ai
> identifying gaps Need timeframe context. Are we looking at Q3 drop or year-over-year?
me
Let's focus on Q3 specifically.
ai
> parsing intent Extracted core problem: Gen-Z demographic drop-off (Q3). Identifying necessary data streams: session replays, conversion funnels, demographic cohorts.
brief_readiness 0%
threshold: 75% ▲ above threshold
confirm_parameters →
/ 02 / hypothesis engine

Hypotheses, not guesses.

● 17 hypotheses on avg · ● MECE-validated · ● 8 contrarian pairs
H_001 Active

Payment Friction

Lack of alternative payment methods (BNPL, Apple Pay) causes friction for younger cohorts.

conf 0.83 ▲ 0.04
H_002 Pending Data

Hidden Costs

Shipping costs revealed too late in the flow cause immediate abandonment.

conf 0.45
H_003 Discarded

Mobile UX

Form fields are not optimized for mobile input.

conf 0.14 ✕ invalidated
H_004 Active

Brand Trust

Lack of social proof signals during checkout reduces trust among new users.

conf 0.65 ▲ 0.05
H_005 Discarded

Price Sensitivity

Gen Z cohort is highly price sensitive compared to Millennials.

conf 0.22 ✕ invalidated
H_006 Pending Data

Session Length

Checkout flow takes too long, causing attention drop-off.

conf 0.33
/ 03 / discovery

Listen to everything.
Trust selectively.

1.5M+ raw sub signals scanned across social, search, reviews, forums, video, and community. Only the verifiable and relevant flow to inference. 38% of signals are rejected at audit.

the_open_web · scanning
social · reddit.com/r/*45k
social · x.com12k
social · tiktok8k
social · linkedin3k
reviews · trustpilot1.2k
reviews · amazon15k
reviews · g2400
reviews · appstore6k
forums · stackex2k
forums · discord18k
video · youtube22k
search · g_search105k
news · 240 pubs1.5k
community · substack3k
social · reddit.com/r/*45k
social · x.com12k
social · tiktok8k
social · linkedin3k
reviews · trustpilot1.2k
reviews · amazon15k
reviews · g2400
reviews · appstore6k
forums · stackex2k
forums · discord18k
video · youtube22k
search · g_search105k
news · 240 pubs1.5k
community · substack3k
source_router
rule_01
hypothesis_match
if (vector_sim > 0.82) { route }
rule_02
cultural_relevance
cohort == 'GEN_Z' && intent == 'HIGH'
rule_03
trust_audit
drop_if(bot_probability > 0.15)
rule_04
recency_decay
weight *= exp(-λ * days_old)
tagged_signals · structured
payment_friction 12k
trust_decay 4.5k
mobile_ux_friction 800
price_sensitivity_gen_z 18k
brand_advocacy_decline 6.2k
session_abandonment 2.1k
checkout_complexity 9.8k
cultural_drift_signal 1.5k
/ 04 / living report

A report that
updates itself.

Not a deck. A living intelligence map that breathes. Signals arrive every minute, and verdicts shift as evidence accumulates. You see which insights are robust and which are fragile.

live · q1 2026 · last verdict shift 14m ago brand_health · gen_z · north_america 0 signals
H_001 · 0.83
Payment Friction
▲ 0.79→0.83
H_004 · 0.65
Brand Trust
H_002 · 0.45
Hidden Costs
H_005 · 0.22
Price Sensitivity
H_003 · 0.14
Mobile UX
H_006 · 0.33
Session Length
GEN_Z
recent verdict shifts
14m ago
H_001 ▲ 0.79 → 0.83
2h 15m ago
H_004 ▲ 0.60 → 0.65
1d ago
H_003 invalidated · 0.14
incoming signals
reddit · r/pf · 'fees are insane'→ H_001
x.com · @user492 · 'cart bug'→ discard
tiktok · #finance · 'bnpl missing'→ H_001
trustpilot · 1★ · 'scam vibes'→ H_004
g2 · review · 'support slow'→ discard
reddit · r/genz · 'apple pay plz'→ H_001
amazon · review · 'shipping high'→ H_002
youtube · comment · 'overpriced'→ H_002
reddit · r/pf · 'fees are insane'→ H_001
x.com · @user492 · 'cart bug'→ discard
tiktok · #finance · 'bnpl missing'→ H_001
trustpilot · 1★ · 'scam vibes'→ H_004
g2 · review · 'support slow'→ discard
reddit · r/genz · 'apple pay plz'→ H_001
stability monitor
H_001 Robust
H_004 Pending
H_002 Fragile
/ 05 / delivery

Plug in.
We do the rest.

Marketing, product, and insights teams plug into Outllyr's infrastructure layer to get continuous, causal, traceable intelligence that powers decisions.

Teams
Marketing
CMO · growth · brand
Product & innovation
roadmap · pricing
Consumer insights
research · strategy
Outllyr.
insights-as-infrastructure

causal ai engine
always-on signals
source-linked outputs
on-demand access
Decisions
Launch & positioning
hours, not weeks
Campaign decisions
defensible to leadership
Product & pricing
causal, not correlation
what you plug into
end-to-end framework
causal forces, not metrics
on-demand access
no project cycles
infrastructure layer
sits inside your workflow
integrations
slack· notion· claude_mcp· chatgpt· looker· tableau· google_sheets· webhooks· rest_api· graphql· slack· notion· claude_mcp· chatgpt· looker· tableau· google_sheets· webhooks· rest_api· graphql
onboard

Ready to explore the future of consumer intelligence?

Request a demo to see the platform map your specific market.

sys_onboard · secure