CloudResearch (cloudresearch.com) platform help — a data-quality-first online research-participant panel: recruit, screen, and pay vetted participants from CloudResearch's own Connect panel (continuously screened via Sentry — bot/duplicate/attention detection, census-matched samples, longitudinal Waves) for surveys, online tasks, and behavioral or AI-training studies; you host the instrument and Connect supplies the humans. Use when creating a Connect study or wiring its redirect and participantId capture into Qualtrics, cleaning out bots or AI/ChatGPT-pasted open-ended answers, designing attention checks and screeners, reading the platform fee (academic vs commercial) or minimum pay, automating study creation or submission approval via the support-provisioned X-API-KEY REST API, or choosing between the legacy MTurk Toolkit and Connect. Do NOT use for choosing a research tool broadly or the validate-before-building method (use /sales-idea-validation), or Prolific's self-serve API panel (use /sales-prolific).
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
CloudResearch (cloudresearch.com) platform help — a data-quality-first online research-participant panel: recruit, screen, and pay vetted participants from CloudResearch's own Connect panel (continuously screened via Sentry — bot/duplicate/attention detection, census-matched samples, longitudinal Waves) for surveys, online tasks, and behavioral or AI-training studies; you host the instrument and Connect supplies the humans. Use when creating a Connect study or wiring its redirect and participantId capture into Qualtrics, cleaning out bots or AI/ChatGPT-pasted open-ended answers, designing attention checks and screeners, reading the platform fee (academic vs commercial) or minimum pay, automating study creation or submission approval via the support-provisioned X-API-KEY REST API, or choosing between the legacy MTurk Toolkit and Connect. Do NOT use for choosing a research tool broadly or the validate-before-building method (use /sales-idea-validation), or Prolific's self-serve API panel (use /sales-prolific).
argument-hint
[describe what you need help with in CloudResearch]
license
MIT
version
1.0.0
tags
["sales","pre-launch","platform"]
CloudResearch Platform Help
CloudResearch (cloudresearch.com) is a data-quality-first online research-participant platform — it
recruits, screens, and pays vetted participants for surveys, online tasks, and behavioral / AI-training
studies. Its edge is data quality: Connect is CloudResearch's own panel, screened continuously by
Sentry (behavioral analysis, device fingerprinting, AI-content detection, bot/duplicate/IP checks), with
census-matched sampling and longitudinal Waves re-contact. It's the bring-your-own-instrument
panel — you host the survey/task in your own tool (Qualtrics, SurveyMonkey, a custom app) and Connect
supplies the humans.
It's the data-quality-first peer to Prolific (/sales-prolific): the same recruit class, but where
Prolific's edge is an instant self-serve API token, CloudResearch's edge is Sentry screening and its
API key is support-provisioned. CloudResearch also runs a legacy MTurk Toolkit over Amazon Mechanical
Turk — but MTurk closes to new customers 2026-07-30, so steer new work to Connect.
Two things to say almost every time:
Vetted people answering ≠ demand. A clean, high-quality sample is strong signal for problem/behavior
research — but a participant saying "I'd pay" is still not a purchase. Keep the why; take a go/no-go to
a real behavior test (/sales-idea-validation, /sales-funnel).
The reward is not the cost. A platform fee rides on top (best-effort 25% academic / 40%
commercial) — budget reward + fee and confirm at cloudresearch.com/pricing before launching.
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated platform knowledge.
B) Study lifecycle — create → wire the survey redirect → launch → monitor → review/approve
C) Data quality — attention checks, screening out bots / AI-pasted answers, when to reject
D) Pay — approve, reject, bonus, and the platform fee + minimum pay
E) Automate / integrate — the Connect REST API, survey-tool integration, MTurk Toolkit vs Connect
Which product? Connect (its own panel — the default), Prime Panels (aggregated third-party panels), or
the legacy MTurk Toolkit. Where does the survey/task live? (Connect supplies participants; the instrument
is external.)
Skip-ahead: if the user wants to compare research/recruit tools across the market or the
validate-before-building method, that's /sales-idea-validation — route in Step 2.
Step 2 — Route or answer directly
If the user's question is about…
Route to
Comparing research/recruitment/idea tools across the market, or the validate-before-building method
Recruiting B2B / hard-to-reach professionals for moderated interviews (a recruit-only marketplace)
/sales-respondent {question}
An all-in-one recruit + run + repository research suite
/sales-great-question {question}
Running a usability / IA test (card sort, tree test, prototype tasks) on a built artifact
/sales-uxtweak or /sales-lyssna{question}
Running a real behavior demand test (smoke-test page, waitlist, pre-sale) after research
/sales-idea-validation or /sales-funnel{question}
When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"
Otherwise, answer CloudResearch-specific questions using Step 3.
Step 3 — CloudResearch reference
Read references/platform-guide.md for the full reference — the module/automation-surface table (what's
API-accessible vs UI-only), pricing/fee + minimum-pay math, the Account → Project → Assignment data model,
survey integration (redirect + participantId), and quick-start recipes. Read
references/cloudresearch-api-reference.md for the API surface (support-provisioned X-API-KEY auth, the
project/assignments/demographics functions, idempotency tokens, and the poll-not-webhook reality). Answer
using only the relevant section — don't dump the full reference.
Step 4 — Actionable guidance
Say the caveat: a clean sample is not demand. CloudResearch gets real, well-screened people to
answer (strong signal — genuine behavior/language) but a stated "I'd pay" is not observed demand. Keep
the why; take the go/no-go to a real behavior test (pre-sale, smoke test) → /sales-idea-validation.
Budget reward + platform fee, and present it as best-effort. Total ≈ reward + platform fee
(best-effort 25% academic / 40% commercial, changed 2025-01-01), with an enforced minimum pay
(best-effort ~$7.50/hr, recommended ~$10/hr — low pay also drags quality and speed). State all
figures as best-effort and point to cloudresearch.com/pricing.
Treat data quality as a design problem, not just a panel feature. Sentry stops bots, duplicates, and
server-farm/foreign-IP fraud — it does not stop a real human pasting ChatGPT into a free-text box.
Add your own attention checks, timing thresholds, and copy-paste detection in the instrument, then
reject genuine failures with a clear reason and reserve bonuses for real effort.
Fix "participants don't fit" with targeting + a feasibility check, not the panel. Apply demographic
filters, run a feasibility estimate before launch so a quota isn't impossible, add custom screening
questions with attention checks, and use quotas / census-matched sampling to balance the sample.
Wire the survey redirect correctly — it's the completion signal. Capture participantId as a URL
param / embedded field so responses tie back to the panel, and set the End-of-Survey redirect (or a
fixed completion code) to fire only after the last question. A misconfigured redirect = completes that
never register.
Automate via the API — but expect poll, not push. The key is support-provisioned (email support),
sent as X-API-KEY. Flow: feasibility → create project (send an idempotency token, 24h TTL) →
update_status LIVE → pollassignments.list_all + project.retrieve_statistics (there are no
webhooks) → approve valid submissions (approval releases payment), reject failures, bonus
standouts. Reuse the same idempotency token on retries so you don't double-create or double-charge.
Steer new work to Connect, not the MTurk Toolkit. MTurk closes to new customers 2026-07-30; the
Toolkit is legacy. Connect (CloudResearch's own vetted panel) is the pitch and is unaffected.
If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.
Gotchas
Best-effort from research (2026-07) — pricing (fee 25% academic / 40% commercial, min pay ~$7.50/hr, rec.
~$10/hr), the MTurk sunset date, and API specifics all move; verify at cloudresearch.com/pricing and the live
Connect Swagger UI.
The reward is not the total. A platform fee sits on top (best-effort 25% academic / 40%
commercial, raised 2025-01-01) with an enforced minimum pay floor (~$7.50/hr, rec. $10/hr — low pay
also drags quality and speed). Budget reward + fee before launching.
Sentry stops bots, not a human pasting ChatGPT. The current data-quality threat is AI-written
open-ended answers from real, verified people — add attention/timing checks and copy-paste detection in
your own instrument, then reject failures and reserve bonuses for genuine effort.
The API key is support-provisioned, not self-serve. Auth is an X-API-KEY header and you must
email support to get a key — unlike Prolific's instant token. Treat the key like a password.
No webhooks — you must poll. No outbound event system / MCP / native Zapier is documented; reconcile by
pollingassignments.list_all + project.retrieve_statistics, and use idempotency tokens (24h) on
create/bonus so retries are safe.
The MTurk Toolkit is sunsetting. Amazon Mechanical Turk closes to new customers 2026-07-30 — new
adopters can't onboard the Toolkit; use Connect (unaffected).
The survey redirect / participantId is the completion signal. Capture participantId and set the
End-of-Survey redirect (or completion code) to fire after the last question, or completes never register.
A clean sample ≠ demand. Hundreds of well-screened people answering "I'd buy this" is stated preference
at scale, not a purchase — take the WTP go/no-go to a real behavior test.
Rejections affect participants. Reject only genuine failures, with a specific reason — over-rejecting
gets flagged and is unfair; that's why attention-check design matters more than blanket rejection.
Related skills
/sales-prolific — The self-serve-API peer panel: same recruit class, but its edge is an instant Token key + HMAC webhooks + MCP + a CLI, where CloudResearch's edge is Sentry data-quality screening and a support-provisioned key. Pick Prolific when you need a self-serve pipeline; CloudResearch when data-quality screening is the priority. Install: npx skills add sales-skills/sales --skill sales-prolific -a claude-code
/sales-idea-validation — The validate-before-building method + the full research/recruit/validator tool landscape (a research "yes" is not demand). Install: npx skills add sales-skills/sales --skill sales-idea-validation -a claude-code
/sales-respondent — The recruit-only B2B/professional interview marketplace (CloudResearch is broad online samples + data-quality screening; Respondent is hard-to-reach professionals for moderated interviews). Install: npx skills add sales-skills/sales --skill sales-respondent -a claude-code
/sales-great-question — The all-in-one recruit + run + repository suite (CloudResearch is recruit + collect only; you bring your own instrument and repository). Install: npx skills add sales-skills/sales --skill sales-great-question -a claude-code
/sales-funnel — Build the smoke-test / fake-door landing page that turns a research hypothesis into a real demand test. Install: npx skills add sales-skills/sales --skill sales-funnel -a claude-code
/sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code
Examples
Example 1: "How do I launch a Connect study and approve submissions from my own backend?" (developer/automation)
User says: "I want to create studies and pay people through CloudResearch's API without clicking around the dashboard."
Skill does: Explains the API pipeline (Step 4) — email support for an X-API-KEY, then
feasibility → create project (with an idempotency token) → update_status LIVE → pollassignments.list_all + project.retrieve_statistics (there are no webhooks) → approve valid
submissions (approval releases payment), reject failures, bonus standouts. Warns that the key is
support-provisioned (not instant like Prolific) and to reuse the same idempotency token on retries.
Result: The user runs the whole study lifecycle from their backend with the payment gate correct.
Example 2: "Half my CloudResearch open-ended answers look ChatGPT-written"
User says: "I'm getting free-text responses that read like AI — is the panel bad?"
Skill does: Reframes it as a data-quality/instrument issue, not a bad panel — Sentry screens bots,
duplicates, and server-farm fraud but not a real human pasting ChatGPT. Prescribes behavior-specific
prompts, attention + timing checks, and copy-paste detection in your own survey, tighter
demographic filters with a feasibility check, and rejecting genuine failures with a clear reason
while reserving bonuses for quality.
Result: The user cleans the sample by fixing screening + attention-check design instead of switching tools.
Example 3: "What will an n=300 study actually cost on CloudResearch?"
User says: "I want 300 participants for a 10-minute survey — what's the real bill?"
Skill does: Explains total ≈ reward + platform fee (best-effort 25% academic / 40% commercial)
with an enforced minimum pay (~$7.50/hr, rec. $10/hr): e.g. $1.50 × 300 = $450 participant pay, +40%
commercial fee $180 → ≈ $630 (academic 25% → ≈ $562.50). Presents all figures as best-effort —
confirm at cloudresearch.com/pricing — and suggests paying nearer $10/hr for faster, higher-quality data.
Result: The user budgets reward + fee up front and sizes the study to their spend.
Troubleshooting
"My API calls 401 / where's my API key?"
Symptom: Requests fail auth, and there's no self-serve key in the dashboard.
Cause: CloudResearch Connect uses an X-API-KEY header, and the key is provisioned by support —
it isn't an instant self-serve token like Prolific's.
Solution: Email support@cloudresearch.com (or your account contact) to have a key issued, then send
X-API-KEY: <key> on every request. The official OpenAPI spec is auth-gated, so verify the exact base path
and reward unit on your first authenticated call.
"Completes aren't registering / participants say the survey didn't mark them done"
Symptom: Participants finish the survey but Connect shows no completion.
Cause: The End-of-Survey redirect (or completion code) isn't wired, or participantId isn't being
captured, so Connect never gets the completion signal.
Solution: In the survey tool, capture participantId from the URL as an embedded/hidden field, and
set the wizard's Redirect URL as the End-of-Survey action so it fires only after the last
question. If your tool can't redirect, use a fixed completion code shown on the final page instead.
"I'm getting low-quality or seemingly-fraudulent responses"
Symptom: Some responses look bot-like, duplicated, or from suspicious locations.
Cause: Sentry screens hard, but no panel is perfect — and AI-pasted free-text from real humans slips past
any bot check. Blanket-rejecting is unfair and gets flagged.
Solution: Add attention checks, timing thresholds, and copy-paste detection in your instrument;
reject only genuine failures with a specific reason; use feasibility + demographic filters + quotas to
target better up front; and report clearly fraudulent submissions for data-quality review. Pay nearer the
recommended rate — higher pay correlates with higher quality.