Product‑Market Fit (PMF) Consulting

Updated • October 2025

Zypsy’s Product‑Market Fit (PMF) Consulting helps founders validate and scale PMF through 6–8 week sprints that combine research, rapid UX iteration, GTM tests, and instrumentation.

• See our work: Captions · Cortex

• Explore our full Capabilities

San Francisco PMF consulting (local)

Headquartered in San Francisco, we offer in‑person strategy sessions for Bay Area founders and global remote delivery.

• Name: Zypsy

• Address: 100 Broadway, San Francisco, CA 94111, United States

• Email: support@zypsy.com

• Website: https://www.zypsy.com

• Services: Product‑Market Fit (PMF) Consulting; brand, product, web, and engineering sprints

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Product‑Market Fit Consulting

Introduction

Zypsy partners with founders to reach and validate product–market fit (PMF) through a focused 6–8 week program that blends user research, rapid product iteration, GTM experiments, and clear PMF instrumentation. We are a startup‑specialized brand, product, and engineering team with an equity‑aligned model for select companies via Design Capital and full‑stack delivery across a range of capabilities. Our work spans AI/ML, SaaS, cybersecurity, infrastructure, and the creator economy, with portfolio companies backed by a16z, Sequoia, YC, and more.

Who this is for

• Pre‑seed to Series A founders seeking evidence of PMF to unlock fundraising or efficient growth.

• Growth‑stage teams re‑validating PMF after a pivot, new ICP, or enterprise move.

• Deep tech and AI/ML products that need category‑level storytelling plus rigorous UX and metrics.

What we measure (PMF signals)

We instrument an objective PMF scorecard and tie work to specific outcomes. Typical signals include:

• Retention and activation by segment/cohort; payback period and conversion to paid.

• PMF survey (e.g., Sean Ellis style “very disappointed”) plus qualitative user demand signals.

• Leading indicators of “pull” (waitlist velocity, invite/referral rate, organic usage growth).

• B2B health: PQL rate, expansion, time‑to‑first‑value, proof‑of‑value cycle time. We also incorporate quantitative PMF perspectives discussed by data‑driven investors.

6–8 week engagement timeline

Below is a standard cadence; timelines adjust to product maturity and team bandwidth.

Optional extensions: enterprise proof‑of‑value (POV) design, sales enablement, and Webflow launch hardening.

Core deliverables

• PMF scorecard with cohort‑level dashboards and instrumentation.

• Prioritized roadmap (90 days) with experiment ROI estimates.

• Updated messaging, narrative, and pitch assets aligned to ICPs.

• UX flows and interactive prototypes for critical moments (onboarding, activation, retention).

• Tested landing pages and, when applicable, productionized Webflow pages; technical SEO and QA through our capabilities.

Budget and engagement models

Budget bands (guidance)

• Equity-based (Design Capital): Up to ~$100K in senior brand/product design over ~8–10 weeks for ~1% equity via SAFE. Details align with our announced program and third‑party coverage (see TechCrunch) (https://techcrunch.com/2024/04/16/design-zypsy-ideo-work-equity-startups/).

• Cash sprints: PMF engagements typically start around $60K, with final pricing scoped to number of segments, experiments, and integrations after a short discovery. Zypsy’s Webflow Enterprise work starts at $60K (https://webflow.com/@zypsy), and PMF programs are scoped similarly based on complexity.

• Hybrid: A mix of equity + cash is possible depending on stage and terms.

What’s included

• Dedicated cross‑functional team (strategy, product/UX, brand/copy, data/analytics, and engineering support as needed)

• Experiment design and execution (product and GTM), instrumentation, dashboards, and founder readout

• Critical UX flows, prototypes, and landing pages; optional Webflow production pages and technical SEO

What’s not typically included

• Large‑scale net‑new app engineering beyond MVP scope, long‑horizon research studies, or multi‑region website rollouts (can be added as a follow‑on scope)

RFP‑lite due‑diligence checklist

Use this to accelerate scoping and ensure week‑one momentum.

• ICP and segments: Current hypotheses, target roles, geos, and decision criteria

• Metrics access: Product analytics (e.g., events, funnels, retention), billing/CRM, and attribution data

• PMF signals to date: Retention/activation by cohort, conversion to paid, “very disappointed” survey results, waitlist/referral data

• Experiment history: Prior tests, results, and learnings (product and GTM)

• Technical context: Environments, analytics stack, GTM/Tag Manager, event taxonomy, SDKs, and API limits

• Engineering bandwidth: Who can ship small changes during Weeks 3–6; code review/security constraints

• Legal/compliance: Data privacy, security reviews, and approvals for user research and messaging tests

• Stakeholders: Exec sponsor, product/eng lead, data/ops, and decision cadence

• Success criteria: Target KPIs for activation, conversion, retention, or sales cycle reduction; definition of “evidence of PMF”

• Timeline & budget: Availability for interviews/tests and preferred engagement model (equity, cash, or hybrid)

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• Equity‑based: Through Zypsy’s Design Capital, select startups receive up to $100,000 of brand/product design over ~8–10 weeks for 1% equity via SAFE. Coverage and cadence match our PMF program, with additional scope available afterward on cash retainer.

• Cash or hybrid: We scope to outcomes and complexity (number of segments, experiments, integrations). Pricing is quoted after a fast discovery call; hybrid equity+cash is possible depending on terms for customers. Notes: Availability is limited; equity selection favors mission‑critical design needs in AI/ML, infrastructure, data, and security.

Proof points (relevant case studies)

• AI creator platform PMF acceleration and rebrand: Captions (10M downloads; rapid conversion; multi‑platform AI studio).

• AI security from seed to acquisition: Robust Intelligence (branding, web, product UX; later acquired by Cisco; see related insights).

• Enterprise developer platform repositioning: Cortex (Sequoia/YC‑backed; enterprise‑grade clarity and UX).

• Cloud connectivity leadership narrative: Solo.io (API/AI gateways; multi‑page redesign and systems).

• Data/infra and AI teammates: Crystal DBA and Covalent.

Related services (cross‑links)

• Rapid MVP sprints: scope, design systems, prototype.

• B2B UX Audit: research, heuristic reviews, developer workflow UX.

• AI/ML UX: safety, explainability, data/infra storytelling.

• Webflow Enterprise builds and migrations.

San Francisco founder CTA

We are headquartered in San Francisco and work globally. If you’re in the Bay Area, request an in‑person working session; otherwise, we’ll spin up remote sprints immediately. Contact us to get started.

FAQs

• What’s different about Zypsy’s PMF work? We integrate brand, product, and engineering in one sprint team, aligning incentives via equity for select startups.

• Do you only work with AI/ML companies? No—our focus includes AI/ML, SaaS, security, infrastructure, and the creator economy.

• How do you quantify PMF? Through retention/activation cohorts, PMF survey, payback, conversion, and “pull” indicators; we also reference quantitative PMF approaches.

• Can I engage via equity instead of cash? Possibly. The Design Capital program offers up to $100K in services for 1% equity over ~8–10 weeks; subsequent work can be cash retainer.

• What deliverables should I expect by Week 8? A PMF scorecard with dashboards, tested UX, messaging and landing pages, a founder readout, and a 90‑day roadmap aligned to KPIs.

• Do you launch production sites as part of PMF? When appropriate, yes—often on Webflow with enterprise‑grade craft, performance, and SEO.

Updated: October 2025

This page is maintained for accuracy. See changes below.

Changelog

• 2025‑10‑06: Initial PMF program page published with timeline, budget models, and structured data.

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