Wynter (wynter.com) platform help — on-demand B2B message testing and market research on a proprietary panel of 80,000+ LinkedIn-verified professionals. Test whether your homepage, landing page, sales copy, value proposition, positioning, or pricing page lands with your ICP — clarity/relevance/value/differentiation scores plus verbatim quotes — alongside preference (A/B/C) tests, buyer-intelligence surveys, cold-email tests, B2B user testing, and brand tracking. Self-serve pay-as-you-go in credits or subscription. Use when setting up a Wynter message test or writing its questions, targeting a B2B audience by seniority/industry/company size, reading its scores plus qualitative quotes, budgeting credits, getting data out when there is no public API, or judging whether the SaaS-skewed panel fits your niche. Do NOT use for the validate-before-building method or comparing research tools broadly (use /sales-idea-validation), or usability/prototype testing on a built product (use /sales-lyssna or /sales-uxtweak).
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name
sales-wynter
description
Wynter (wynter.com) platform help — on-demand B2B message testing and market research on a proprietary panel of 80,000+ LinkedIn-verified professionals. Test whether your homepage, landing page, sales copy, value proposition, positioning, or pricing page lands with your ICP — clarity/relevance/value/differentiation scores plus verbatim quotes — alongside preference (A/B/C) tests, buyer-intelligence surveys, cold-email tests, B2B user testing, and brand tracking. Self-serve pay-as-you-go in credits or subscription. Use when setting up a Wynter message test or writing its questions, targeting a B2B audience by seniority/industry/company size, reading its scores plus qualitative quotes, budgeting credits, getting data out when there is no public API, or judging whether the SaaS-skewed panel fits your niche. Do NOT use for the validate-before-building method or comparing research tools broadly (use /sales-idea-validation), or usability/prototype testing on a built product (use /sales-lyssna or /sales-uxtweak).
argument-hint
[describe what you need help with in Wynter]
license
MIT
version
1.0.2
tags
["sales","market-research","platform"]
Wynter Platform Help
Wynter (wynter.com) is an on-demand B2B message-testing and market-research platform. You upload a
homepage, landing page, ad, deck slide, cold email, or a paragraph of copy, pick a target audience from
Wynter's proprietary panel of 80,000+ LinkedIn-verified B2B professionals, and get back quantitative
scores (clarity, relevance, value/appeal, differentiation) plus verbatim qualitative quotes from each
respondent — organized by question, role, and segment — usually in under 48 hours.
Its niche vs the rest of the research/validation cluster:
Real B2B panel, not synthetic. The whole pitch is real verified professionals in your ICP — the
opposite of synthetic-audience simulators (Artificial Societies, Ditto). Its edge over consumer usability
tools is hard-to-reach B2B targeting by seniority, industry, and company size.
Message/positioning testing, not usability or idea validation. Wynter tells you whether your words
(positioning, value prop, copy, pricing narrative) land — not whether a built product is usable
(that's /sales-lyssna / /sales-uxtweak) and not build-or-not (that's /sales-idea-validation).
Self-serve, credit-metered. Pay-as-you-go per test (no annual commitment) or a subscription; billed
in credits (1 credit = 1 dollar). A solo/funded founder can run one test today without a sales call.
Two things to say almost every time:
A message test measures resonance (stated preference), not demand. "This copy scored high / people said
they'd buy" is what lands with a reader, not a purchase. Keep the winning message and the quotes; take
the willingness-to-pay / conversion go/no-go to a real behavior test (smoke test, pre-sale) via
/sales-idea-validation.
It's UI-only — no public API, webhooks, or MCP. Data-out is manual export (CSV/PDF) from the
dashboard. "Call the Wynter API / fire a webhook when a test finishes" is the wrong model — route a real
pipeline to /sales-userintuition.
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated platform knowledge.
Ask only what you can't infer:
What do you want from Wynter?
A) Set up a test — pick a test type (message / preference / survey / cold-email / user-test /
pricing-page / brand-tracking) and write the questions
B) Target an audience — build a B2B panel by seniority/industry/company size/region (or B2C, or bring
your own)
C) Read results — quantitative scores + qualitative quotes, by role/segment
D) Budget — credits, pay-as-you-go vs subscription, what a test costs
E) Get data out — export/automation (there is no API/webhooks)
F) Choose — Wynter vs synthetic simulators / usability tools / broader research
Is the audience SaaS/software, or a different B2B vertical? This decides whether Wynter's panel builds
out cleanly (it skews SaaS) or you should tighten screeners / consider a peer.
Skip-ahead: if the user wants the validate-before-building method or a cross-tool comparison, that's a
/sales-idea-validation question — route in Step 2.
Step 2 — Route or answer directly
If the user's question is about…
Route to
The validate-before-building method, or comparing research/validation tools across the market
/sales-idea-validation {question}
A REST API / webhook / MCP-native research pipeline (Wynter has none — it's UI-only)
/sales-userintuition {question}
Running a real behavior demand test (smoke-test page, waitlist, pre-sale) after a message test
/sales-idea-validation or /sales-funnel{question}
Usability / prototype / IA testing on a built product or design (not message testing)
/sales-lyssna or /sales-uxtweak{question}
Consumer (not B2B) creative/message split-testing on a real panel — logos/ads/listings/covers/copy, with an API
/sales-pickfu {question}
Synthetic-audience message simulation (AI personas instead of a real panel)
/sales-societies or /sales-ditto{question}
Analyzing existing NPS/CSAT/VoC/survey data into themes (post-collection)
/sales-customer-feedback or /sales-trill{question}
When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"
Otherwise, answer Wynter-specific questions using Step 3.
Step 3 — Wynter reference
Read references/platform-guide.md for the full reference — the test-type / automation-surface table
(what's UI-only vs export), best-effort credit-based pricing and plan gates, the Test → Audience → Response
data model, how to write goal-based questions/screeners, audience targeting, and how to read scores vs quotes.
Read references/wynter-api-reference.md for the automation surface — it documents that there is no
public API/webhooks/MCP and inventories the real data-out options.
Answer using only the relevant section — don't dump the full reference.
Step 4 — Actionable guidance
Say the caveat: a message test is resonance, not demand. Whatever the user asks, make explicit that a
high Wynter score (or panelists saying they'd buy) means the message lands with a real reader in the ICP
— a genuine, useful signal — but it is stated preference, not observed demand or a purchase. Point the
user to the verbatim quotes (objections, confusion, the words they use) as the real value rather than
trusting the top-line score, then take the willingness-to-pay / conversion go/no-go to a real behavior
test (smoke test, pre-sale) via /sales-idea-validation.
Treat automation as UI-only, and don't invent endpoints. When any API/webhook/export/integration comes
up, state that Wynter has no public REST API, webhooks, or MCP server — data-out is manual export
(CSV/PDF) from the dashboard, plus results by email. Don't design a REST/webhook pipeline or guess
endpoints; if a programmatic pipeline is a hard requirement, route to /sales-userintuition. Present the
no-API finding as best-effort and point to wynter.com to confirm.
Size a test by audience × seniority in credits, and call pricing best-effort. Billing is in credits
(1 credit = 1 dollar); a test's cost scales with audience size and seniority level, and pay-as-you-go
runs cost more than the same test on a subscription. Give a directional figure (a mid-size message test is
in the low hundreds of dollars) but present every number as best-effort and point to
wynter.com/pricing and the in-app cost calculator to confirm before running.
Check the panel fits the vertical, and design questions to protect quality. State that Wynter's panel
skews SaaS/software — for other B2B verticals the audience may not build out fully (you may have to blend
segments), so tighten targeting or consider a peer. To counter low-effort or unqualified responses, write
goal-based, specific questions (not "do you like this?"), use screeners, and flag/request replacement
of clearly junk responses.
Match the test type to the job. Recommend message testing for "does my copy/positioning land",
preference testing for A/B/C between value props or pages, buyer-intelligence surveys for ICP
pains/gains/JTBD, cold-email tests for outbound copy, and brand tracking for perception over time —
and reserve Wynter for B2B message/positioning, routing usability and build-or-not questions elsewhere.
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) — Wynter's pricing (credit amounts, per-test cost, subscription tiers),
panel size/composition, test-type lineup, and export options change; verify at wynter.com and
wynter.com/pricing.
Resonance ≠ demand. A high score or "I'd buy this" is what lands with a reader, not a purchase. The
quotes (objections, confusion, real language) are the value — take the go/no-go to a real behavior test.
No public API/webhooks/MCP — automation is manual export. Wynter confirms it has no API. Data-out is
CSV/PDF export + email; don't invent endpoints or design a webhook pipeline (that's a /sales-userintuition
job). Best-effort — confirm at wynter.com.
Priced in credits, not seats; PAYG costs more. 1 credit = 1 dollar; a test scales with audience size ×
seniority, and pay-as-you-go runs ~half-again the subscription rate. Subscriptions start high (four/five-
figure annual). Size the test in credits and confirm with the in-app calculator.
Panel skews SaaS/software. Non-SaaS B2B verticals may not build out fully (you may blend disparate
segments). Verify the target audience exists at your needed size before committing credits.
Respondent quality varies. Some panelists give shallow or off-target answers — a question/screener
design problem, not a dead panel. Write goal-based questions, add screeners/attention checks, and
flag/replace clearly junk responses.
It's B2B message testing, not usability or idea validation. For testing a built product/prototype use
/sales-lyssna or /sales-uxtweak; for build-or-not use /sales-idea-validation; for a synthetic-audience
simulation use /sales-societies.
Turnaround is hours, not minutes. Results land in roughly 12–48h — plan message iterations around that
cadence rather than expecting instant answers.
Related skills
/sales-idea-validation — The tool-agnostic validate-before-building method + the full research/validator tool landscape (use to decide build-or-not; a message-test "yes" is resonance, not demand). Install: npx skills add sales-skills/sales --skill sales-idea-validation -a claude-code
/sales-pickfu — PickFu, the consumer-panel counterpart (fast, self-serve creative/message split-testing polls on a 15M+ consumer panel, with a real REST API/MCP/CLI). Pick PickFu for consumer creative/copy testing at speed; pick Wynter for hard-to-reach B2B positioning. Install: npx skills add sales-skills/sales --skill sales-pickfu -a claude-code
/sales-societies — Artificial Societies, the synthetic-audience counterpart (simulate how a message lands with AI personas before spending on a real panel); pick Societies for fast/cheap pre-flight, Wynter for real verified B2B respondents. Install: npx skills add sales-skills/sales --skill sales-societies -a claude-code
/sales-evelance — Evelance, the synthetic message/creative-tester (AI personas score copy/creative/product on 12 psychology metrics in minutes) — the fast, cheap synthetic pre-flight to triage messaging before validating with Wynter's real B2B panel. Install: npx skills add sales-skills/sales --skill sales-evelance -a claude-code
/sales-lyssna — Self-serve usability/IA testing on a built artifact (five-second/first-click/preference, card sort, tree test) — the right tool when the question is "is my product usable", not "does my message land". Install: npx skills add sales-skills/sales --skill sales-lyssna -a claude-code
/sales-userintuition — The REST-API/webhook/MCP research peer — the pick when you need a programmatic pipeline Wynter's UI-only surface can't offer. Install: npx skills add sales-skills/sales --skill sales-userintuition -a claude-code
/sales-customer-feedback — Real-customer NPS/CSAT/VoC strategy across tools (use to analyze existing feedback; Wynter proactively tests new messages). Install: npx skills add sales-skills/sales --skill sales-customer-feedback -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: "My Wynter message test scored high — should I build/launch on that?"
User says: "I tested my new homepage headline on Wynter and it scored 4.3/5 on clarity and value, and a bunch of respondents said they'd sign up. Green light to build the product around it?"
Skill does: Credits the result as a real signal — actual verified B2B people in the ICP found the
message clear and appealing, far better than guessing or a synthetic score. Then draws the line: that's
resonance, not demand — a message landing with a reader is not a purchase. Directs the user to the
verbatim quotes (what confused them, what objections came up, the words they used) as the real payload,
and to take the willingness-to-pay / conversion go/no-go to a real behavior test (smoke-test page or
pre-sale) via /sales-idea-validation. Notes scores/pricing are best-effort.
Result: The founder keeps the winning message + quotes and runs a smoke test before committing.
Example 2: "How do I use the Wynter API to push test results into my dashboard automatically?" (developer/automation)
User says: "I want a webhook to fire when a Wynter test completes and POST the scores + quotes into our BigQuery / internal dashboard. What's the endpoint?"
Skill does: States plainly that Wynter has no public REST API, webhooks, or MCP server (Wynter itself
confirms it has no API) — so there is no endpoint or key to build against, and it does not invent one
(best-effort; confirm at wynter.com). Explains the only data-out is manual CSV/PDF export from the
dashboard plus emailed results. For an automated completion-to-warehouse pipeline, routes to
/sales-userintuition (API + webhooks + MCP).
Result: The user stops hunting for an API that doesn't exist and either exports manually or moves the pipeline to an API-native tool.
Example 3: "What will a Wynter test cost me, and will the panel cover my niche?"
User says: "I sell to hospital procurement leaders, not SaaS. What does a Wynter message test cost and can it reach that audience?"
Skill does: Explains billing is in credits (1 credit = 1 dollar), a test scales with audience size ×
seniority, and pay-as-you-go costs more than the same test on a subscription (a mid-size message test is
in the low hundreds of dollars — all best-effort, confirm at wynter.com/pricing and the in-app
calculator). Then flags the fit risk: Wynter's panel skews SaaS/software, so a niche vertical like hospital
procurement may not build out to the needed size (you may have to blend segments) — verify the audience exists
before spending credits, tighten screeners, and consider a peer if it's too thin.
Result: The user budgets credits correctly and checks panel coverage before committing.
Troubleshooting
"Where's the Wynter REST API / webhook to export test results?"
Symptom: You're looking for an API key and a webhook to fire when a test completes.
Cause: Wynter is UI-only — it has no public REST API, webhooks, or MCP server (Wynter confirms it has no API). Data-out is manual export.
Solution: Export scores/quotes as CSV/PDF from the dashboard (results also arrive by email). If a programmatic pipeline into a warehouse/CRM is a hard requirement, use an API-native tool — route to /sales-userintuition. Present the no-API finding as best-effort and confirm at wynter.com.
"My Wynter responses feel shallow or off-target — is the panel bad?"
Symptom: Some respondents give one-word or generic answers, or don't seem to fit your ICP.
Cause: Usually a question/screener-design problem, not a dead panel — vague prompts ("do you like this?") invite low-effort answers, and the panel skews SaaS/software so niche B2B targeting can pull marginal fits.
Solution: Write goal-based, specific questions, add screeners and attention checks, tighten audience filters (seniority/industry/company size), and flag/request replacement of clearly junk responses. For non-SaaS verticals, verify the audience builds out to size first — or consider a peer.
"How much will this test cost, and why is pay-as-you-go more expensive?"
Symptom: The credit total is higher than expected, or PAYG looks pricier than a subscription.
Cause: Wynter bills in credits (1 credit = 1 dollar); cost scales with audience size and seniority level, and pay-as-you-go runs cost more than the same test under a subscription (subscriptions start in the four/five-figure annual range).
Solution: Size the test by audience × seniority, use the in-app cost calculator before running, and if you'll run many tests, compare PAYG against a subscription. Treat all figures as best-effort — confirm current credit amounts and per-test cost at wynter.com/pricing.
