Crowd Survey
Coming Soon
Ground truth. And what comes before it.
One network.
Two signals.

How Crowd Threat and Crowd Survey interplay across every phase of an intelligence cycle — from pre-escalation warning to claims verification.

Crowd Threat — Crowd Survey
See it in action
Answer in minutes.
Get paid per response.

Contributors answer short, structured questionnaires through the Crowd Threat app. No specialist knowledge required — just honest, on-the-ground perspective from people already embedded in the communities we cover.

Every validated response earns direct payment. Easy income. Ground-truth intelligence that no algorithm can replicate.

Intelligence cycle
Two signals across every phase

Each product provides a distinct intelligence function. Together, they are stronger than either alone.

Phase
◆ Crowd Threat
◆ Crowd Survey
◆ Combined value
01
Pre-escalation period
No verified incidents — nothing yet observable in open-source channels.
Rising negative sentiment, economic stress, and behavioural change detected across survey dimensions.
Crowd Survey is the only signal. Clients receive early warning before incident spikes are visible anywhere else.
02
Onset of instability
First incidents submitted — low volume, uncertain whether this is noise or genuine escalation.
Survey scores drop sharply across security and sentiment dimensions simultaneously.
Combined signal confirms escalation is genuine, not noise. Confidence elevated beyond either signal alone.
03
Active incident period
High verified incident volume mapped in real-time — strongest CT signal.
Survey participation may fall as reporters reduce movement; negative scores confirm severity.
Incident data is ground truth; survey confirms community experience matches the operational picture.
04
Post-incident
Reports decline — a falling count alone could wrongly suggest normalisation.
Survey tracks real recovery or continued instability — more accurate than incident count alone.
Survey persists as leading indicator of secondary escalation risk when CT data alone suggests the situation has resolved.
05
Claims verification
Asset proximity match fires with incident detail and confidence score — the specific event the underwriter needs.
Pre-existing survey trend provides the contextual baseline for the risk assessment.
Incident = the specific event. Survey = the risk context. Together they support a defensible underwriting decision.
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The Crowd Survey signal
A 30-day forward forecast. Country by country.

Built from 7 leading indicators that have consistently preceded instability. These signals are invisible to scrapers — observable only through a calibrated local network of paid contributors.

Where conventional OSINT reacts to what has already happened, Crowd Survey surfaces the conditions that make it likely.

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30-dayForward forecast window
7Leading indicators tracked
55Countries covered at launch
WeeklyUpdate cadence
01
Security sentiment

Local perceptions of personal and community safety, tracked weekly across all coverage countries.

02
Economic stress index

Household-level income pressure, employment anxiety, and cost-of-living strain.

03
Governance confidence

Trust in local institutions, police, judiciary, and political leadership.

04
Protest likelihood

Self-reported willingness to take part in public demonstrations.

05
Movement patterns

Changes in reported mobility and public-space activity relative to baseline.

06
Ingroup/outgroup tension

Reported inter-communal friction across ethnic, religious, and political lines.

07
Resilience baseline

Community capacity to absorb shocks — social cohesion, resource access, coping mechanisms.

◆
Why seven?

No single indicator is predictive alone. The composite score across all seven dimensions provides the stability vector that clients act on.

Survey Programme
Three tiers. One intelligence stack.

The Stability Vector is built from three layers of contributor input — each capturing a different temporal dimension of local conditions. Daily pulses catch the first tremors. Weekly surveys track structural trends. Monthly deep surveys record the slow-moving signals most reliably predictive of medium-term instability.

◆ Total earnings / month
DailyUp to £6.20
WeeklyUp to £4.00
MonthlyUp to £3.00
Total potential£13.20+
Daily Pulse
£0.15–0.20
Every day~60 sec2–3 questions

Questions rotate daily from a bank of 21. Triggers analytics when 25%+ of regional contributors report deterioration within 48 hours.

◆ Example Questions · tap to interact
Security

Have you personally avoided any area or route today that you would normally use?

Economy

Were any local businesses or services closed today that you expected to be open?

Sentiment

On a scale of 1–5, how worried are people in your community right now?

Weekly Structured
£0.75–1.00
Once per week~4 min8–12 questions

Four thematic versions (A–D) rotate monthly. Forward Expectation questions always appear — they feed the Stability Vector direction metric directly.

◆ Example Questions · tap to interact
Social cohesion

Have you witnessed or heard of any confrontation or dispute between different community groups this week?

Governance

How confident do you feel that the government or official authorities are in control of the situation in your area right now?

Forward expectation

On a scale of 1–10, how confident are you in your own personal safety next week?

Monthly Deep Survey
£2.50–3.00
Once per month~12 min20–30 questions

Captures structural indicators — the slow-moving signals most reliably predictive of medium-term instability. Ends with three open-text questions that feed the analyst layer directly.

◆ Example Questions · tap to interact
Institutional trust

If you experienced a crime or threat today, would you report it to the authorities?

Migration intention

What would primarily need to change for you to feel fully confident about staying in your area long-term?

Open text

What is the single biggest concern in your community right now?

Open text field — contributor's own words
Accuracy Bonus — Top 10% of accurate contributors earn a permanent +25% multiplier on all survey pay. Responses are validated against real-world outcomes after the fact.
+25%
FAQ
Common questions

Everything you need to know about how Crowd Threat and Crowd Survey work.

Most intelligence platforms aggregate open-source data — news, social media, scraped feeds. We do the opposite: we deploy a verified network of local contributors to submit, in real time, what they are witnessing on the ground. The result is intelligence that exists before it appears in any public channel.

Every submission passes through a two-stage verification process: AI-assisted quality control checks source plausibility, location accuracy, and category alignment, followed by human analyst review. Contributors are tracked for accuracy over time through a six-level trust system — poor performance drops reporters a level; consistently verified contributors rise.

Verified individuals living and working within the communities they report on. They span 55 countries across Tier 1 and Tier 2 coverage zones. Contributors are paid per verified submission, which creates a sustained incentive for quality reporting over volume.

Two routes: a direct platform subscription for analyst teams, or API access for organisations integrating the data feed into their own systems. Both are available now. Visit the pricing page or request a demo for full details.

Because a small team of analysts cannot keep up with the volume, pace, and geographic breadth of global instability. A local, verified crowd can. The post office worker analogy is instructive: they don't need specialised training — they need to be there, trusted, and systematic. Our network provides exactly that.

Crowd Survey
Coming Soon
Be first to access Crowd Survey

We're onboarding enterprise clients and contributors ahead of launch. Register your interest and we'll be in touch with early access details.

Contact
contact@crowdthreat.com
15A Cobalt Business Park
Quick Silver Way
Newcastle Upon Tyne
NE27 0QQ
United Kingdom
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