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zippypays.com/studio/coffee-delivery

zippy · studio

Preview

Study #482·Complete

Coffee delivery · 4-hour · $2 add-on

9m 12s

ACS-weighted

Brief

Coffee drinkers, 25–45, urban US, HHI $60k+, mobile-first.

Sample

1,284

Lean yes

65%

Off target

0.6%

Switch to 4-hour delivery for $2 more?

n = 1,284

Definitely yes38%

Probably yes27%

Maybe18%

Probably not11%

Definitely not6%

Top insight

25–34 lean yes 73% (49% definitely). 35–44 stalls. Maybe peaks at 30%. Likely blocker: packaging cue at the price point.

Calibrated against US public sources

ACSPew ResearchUS CensusBLSAHRQSCFBRFSS

Used by product, marketing, and research teams across US fintech, consumer brands, and SaaS enterprises.

The old way

You can't observe what you can't reach.

Real research moves in quarters. Teams ship in days. Twelve voices in a room won't speak for millions.

6 weeks

to field one real study

$50,000

for a single focus group

12 voices

speaking for millions

Below: the same study, in 9 minutes.

Try it

Move the slider. Watch them decide.

1,284 calibrated buyers. Each one has a private threshold and their own reasoning. Change the price. Their behavior re-forms in real time.

zippy · simulator · n = 1,284zippy · simulator

Live

Question

US Gen Pop · ACS-weighted

“Switch to 4-hour delivery for $2.00 more?”

Free$10.00 add-on

$0.00$2.50$5.00$7.50$10.00

192 sampled · 1,284 in panel

64% lean yes

Hear one

Maya Chen

29 · designer · Brooklyn

Probably yes

“Below my coffee-out delta. If it's reliable, I replace tomorrow's morning run.”

Threshold$3.00

Distributionat $2.00

Definitely yesDef. yes

31%

Probably yesProb. yes

33%

MaybeMaybe

14%

Probably notProb. not

17%

Definitely notDef. not

Strong adoption. Monitor 35–44 segment for SLA sensitivity.

Re-runs in 0.4s

Behavioral, not just attitudinal

Each persona has a private willingness threshold, not a survey response.

Counterfactual on demand

Change conditions. Re-run. Compare. Without recruiting another panel.

Reasoning per response

Hover any answer to see context, priors, and the trade-off they weighed.

Observe anyone

Every dot is a person. Hover to meet them.

Aggregate stats are easy. The harder thing is being able to ask any single mind why, and have an answer that holds up.

zippy · observation lens · n = 234zippy · lens

Hover any dot

Move your cursor across any dot to see who they are.Tap any dot to drill in.

234 of 1,284 sampled

Definitely notProbably notMaybeProbably yesDefinitely yes

Selected

Diego Alvarez

41 · Small business owner · Austin

budget-conscioustime-poorloyal to brands

Definitely yes

“Buys back a Sunday. Yes if the SLA holds.”

Sentiment 64 / 100

Selected

Diego Alvarez

41 · Small business owner · Austin

budget-conscioustime-poorloyal to brands

Definitely yes

“Buys back a Sunday. Yes if the SLA holds.”

Sentiment 64 / 100

The population

Build a world before you study it.

Compose a synthetic audience that looks like your real one, from a curated panel or a one-sentence brief.

Calibrated, not vibes

Every panel weights to US public sources: ACS, US Census, Pew, BLS, BRFSS. Sources cited inline.

Bring your own data

Upload customer interviews, ICPs, or anonymized CRM. Condition the population with explicit weights you can tune.

Tune any axis

Reweight age, income, geo, role, behavior. Watch the composition update before you draw a sample.

zippy · audience builder

Ready

Brief

Coffee drinkers, 25–45, urban US, household income $60k+, mobile-first.

Pick a panel

5 curated

Conditioning preview

US General Population

Age

25–34 31%35–44 33%45+ 36%

HHI

$60–100k 41%$100–200k 38%$200k+ 21%

Region

NE 22%MW 18%S 31%W 29%

1,284 personas ready

Calibrated · auditable · seeded for replay

The observation room

Watch them deliberate.

Multi-persona dialogue, in real time. Every answer ships with the context, priors, and weighing behind it. Click anything.

zippy · focus group · n = 12zippy · focus group

Live

Topic

“Switch to a 4-hour coffee delivery option for $2 more?”

MC
Maya ChenProduct Designer · Brooklyn, NY
Probably yes
Below my coffee-out delta. If it's reliable, I replace tomorrow's morning run.
1. 1
  Context
  Brooklyn · designer · premium taste · time-poor weekdays
2. 2
  Priors
  Pays for convenience, sensitive to packaging cues, on subscription
3. 3
  Weighing
  $2 < the $4 coffee-out alternative she'd otherwise grab
4. Verdict
  Probably yes
DA
Diego AlvarezSmall business owner · Austin, TX
Probably not
$2 a box × monthly cadence is real money. Current delivery window is fine.
AB
Aisha BahNurse practitioner · Houston, TX
Definitely yes
If it lands when it says, $2 buys peace of mind on a busy hospital week.

Ask a follow-up to this audience…In product

Many minds, one room

Multi-persona dialogue with grounded backstories. Not one chatbot dressed up as several.

Reasoning per answer

Click into context, priors, and weighing behind any verdict. Audit, don't trust.

Probe in real time

Disagree with a segment? Ask a follow-up. The room stays in session.

zippy · survey results

Question

“Switch to a 4-hour delivery option for $2 more?”

Distribution · weighted

65% lean yes

Definitely yes38%

Probably yes27%

Maybe18%

Probably not11%

Definitely not6%

Cross-tab · response × segment

All

25–34

35–44

45–54

Urban

Definitely yes

Probably yes

Maybe

Probably not

Definitely not

Summary

Strongest yes among 25–34 (49% definitely · 73% lean). 35–44 stalls. Maybe peaks at 30%, packaging cue likely the blocker.

The aggregate

Survey-grade signal, on demand.

The same simulated population, asked precisely. Weighted distributions, cross-tabs, and a methodology trail you can defend in review.

Distribution + segments

Likert, ranking, and concept tests with weighted distributions and live segment filters.

Cross-tabs, instantly

Slice by demographic, behavior, or any panel axis. No re-runs needed.

Export everything

Raw data, weighted aggregates, methodology trail. CSV, JSON, or piped to your stack.

Audit

Show your work. Always.

Every run ships with its calibration trail and a per-axis distribution check. Trust nothing, audit everything.

Panel library6 curated · or define your own

Calibrated to

ACS 2023 + Census 2020 + Pew ATP

Age

18–29 21%30–44 26%45–64 32%65+ 21%

Income (HHI)

<$50k 38%$50–100k 34%$100k+ 28%

Region

NE 17%MW 21%S 38%W 24%

Sample · target audit

1,284 personas drawn · ACS-weighted

Within ±2pp

Age 25–4541.6%/42%-0.4

Female50.4%/50.8%-0.4

HHI ≥ $60k57.3%/58%-0.7

Urban82.1%/83%-0.9

College+39.4%/39%+0.4

this run±2pp bandtarget

Audit on every run

Per-axis distribution match against target. Within tolerance, or we tell you it drifted.

Sources cited inline

Every panel ships with the public datasets it's calibrated against. No black box.

Seeded & replayable

Re-run with the same seed, same audience, same conditions. Reproducibility is the floor.

For teams that ship

Built around the work you actually do.

Validate ideas before you spec them.

Pressure-test PRDs. Prioritize features against representative segments. Surface the objection your team isn't naming.

Packaging concept test · 1,284 sampled

“Reads like a Costco SKU on the shelf. I'd skip it without the brand mark.”

— Maya · 29 · designer · Brooklyn

9 min

to ship the test

For the enterprise

Enterprise-ready. Out of the box.

Procurement-ready security, privacy, access controls, and support. Designed for the teams that have to say yes after their compliance review does.

Security

Enterprise-grade by default.

Encryption, access controls, and continuous monitoring. Posture summary and pen-test results shared on request.

AES-256 at rest · TLS 1.3 in transit
MFA required for all staff
Quarterly access reviews

Privacy

Your data, isolated.

Customer prompts, populations, and transcripts are scoped to your workspace. Never used to train shared models.

US-only hosting
CCPA/CPRA aligned · major US state laws honored
Hard-deletion within 30 days

Access

Built for the org chart.

Role-based permissions, single sign-on, and SCIM provisioning. Audit logs on every change.

SAML SSO · Okta, Azure AD, Google
SCIM 2.0 user lifecycle
Per-study access controls

Support

A solutions engineer, not a chatbot.

Enterprise customers get a named SE, custom panel calibration, and a written SLA. Onboarding in a single session.

Dedicated solutions engineer
Custom panel calibration
Written SLA · 4-hour response

Need our security posture summary, subprocessor list, or DPA pre-signed? Email hello@zippypays.com. Sent same business day.

Security & trust

Built for teams who can't afford to leak.

Audited security controls

Encryption, access controls, and continuous monitoring. Posture summary available on request.

Your data stays yours

Customer prompts and results are never used to train shared models. Encrypted at rest (AES-256) and in transit (TLS 1.3).

US-only hosting

All processing and storage in the US. CCPA/CPRA aligned; major US state privacy laws honored.

FAQ

Questions, answered.

Anything else? Email hello@zippypays.com. A real person will reply within a business day.

Zippy isn't one model with one voice. It's a population layer of thousands of statistically calibrated personas with multi-agent dynamics. Every number on screen is grounded in reasoning you can click through, audit, and reproduce.

We continuously benchmark Zippy against published survey panels and publish the per-domain correlations, including the misses. Every run ships with a bias audit and a methodology trail so you can interrogate the math, not just trust it.

Pricing, messaging, naming, concept tests, ad copy, packaging. Anything where a real answer beats a confident guess. We publish correlation data per study type so you can see how Zippy performs in your domain before you bet on it.

US consumer audiences calibrated to public sources (ACS, US Census, Pew, BLS, BRFSS). US B2B audiences by role, industry, and company size. Regulated US cohorts (clinicians, financial advisors) are Enterprise-only and paired with traditional consultation, never as a sole input. Zippy is US-only by design.

Same-day setup. Describe an audience in a sentence, drop in your stimulus, and read insights the same afternoon. Onboarding is a 30-minute session, not a procurement cycle.

Yes. Upload customer interviews, segments, ICP definitions, or anonymized CRM exports. Zippy conditions populations on your data with explicit weights you can tune.

Starter is free for individual researchers. Pro is $500 per user, per month, billed monthly or annually. Enterprise is custom, with SSO, SCIM, audit logs, dedicated calibration, and a written SLA. Volume pricing kicks in at 10+ seats.

Your prompts, populations, and transcripts are encrypted at rest (AES-256) and in transit (TLS 1.3), scoped to your workspace, and never used to train shared models. Hosted in the US. Customer data does not leave US soil. CCPA/CPRA aligned. Audited security controls; posture summary on request.

From a questionto evidence,this week.

Bring a question. We'll walk through a live audience, a focus group, and a survey, in 30 minutes.

Book a demo See pricing

Enterprise-ready · CCPA/CPRA · onboarded in a single session