Feature Sprints · App Builds · Embedded Dev Teams

Jake McMahon
Led by Jake McMahon
Founder, ProductQuant · LinkedIn

Build faster. Ship with the product thinking included.

Most dev shops give you engineers. You still have to manage them, spec the features, and figure out if what gets built is moving your metrics. We give you the full team.

Fixed-price sprints · Dev team from $45/hr · No minimum commitment

Three Ways to Engage

Feature Sprint $15K–$28K
App Build Sprint $45K–$90K
Embedded Dev Team from $45/hr
Built for B2B SaaS teams shipping at pace
Gainify
Guardio
monday.com
Payoneer
thirdweb
Canary Mail
CircleUp
PRODUCT
SHIPPED

From scoped call to live feature in 6–8 weeks. Fixed price, no billing surprises.

PM
INCLUDED

Strategy, specs, and product judgment in the same team. No coordination overhead, no gap between what gets built and what was needed.

OUTCOME
CONNECTED

Every sprint tied to a measurable result. You know from week one whether what shipped is working.

Book a free scoping call →

Six disciplines. One team. AI-first from day one.

Most agencies hand you engineers. We bring the full stack: product strategy, analytics instrumentation, design, AI, development, and business operations — all running AI-first workflows that ship weekly, not quarterly.

Product strategy is the starting point — not the afterthought. We classify your product across 10 structural dimensions (value delivery model, growth motion, buyer-user gap, activation complexity) to identify which strategies are structurally viable for your business. Every build decision flows from this analysis.

  • Product DNA classification — 10 dimensions, not opinions
  • GTM motion design (PLG, sales-led, or hybrid) matched to structure
  • Pricing architecture tied to usage patterns and expansion mechanics
  • Feature prioritisation based on activation and retention data
  • Competitive positioning and category strategy
  • PMF diagnostics — are you post-PMF or still searching?

Strategy that matches your product's structural reality — not borrowed playbooks

Slack's PLG worked because of Slack's structural DNA. Copying the playbook without the structure is how teams spend quarters on strategies their product was never built to support.

We instrument everything before it ships. PostHog, Amplitude, Mixpanel — we set up the tracking, build the dashboards, and run the statistical tests. When an experiment finishes, you know whether it worked within days, not quarters. Every metric is tied to a business outcome.

  • PostHog and Amplitude setup, migration, and configuration
  • Event taxonomy design — structured from day one, not patched later
  • Funnel analysis, cohort retention, and activation rate tracking
  • A/B test design with statistical significance and sample size planning
  • Bayesian and frequentist testing — whichever fits your traffic
  • Revenue attribution dashboards connecting features to ARR impact

You know what's working within days — not when someone checks a quarterly report

We run 8 experiments per month where most teams run 1-2. That's 8x the learning compressed into the same calendar month.

Design decisions that can't be tied to a metric aren't design decisions — they're opinions with a budget. We design onboarding flows, activation paths, conversion pages, and product UX with measurement built in from the start. Every design choice has a hypothesis behind it and a way to validate it.

  • Conversion-focused UI/UX design for SaaS products
  • Onboarding flow design with drop-off instrumentation
  • Landing page and pricing page design with A/B variants
  • Design system architecture for consistent, testable components
  • Activation path design — from signup to first value moment
  • UX research and usability testing with real users

Every screen ships with a hypothesis — and gets validated against real data

We don't hand you mockups and walk away. We design, build, instrument, ship, and measure — then iterate based on what the data says.

We run AI-first workflows internally — Claude for code generation, automated testing, self-healing error triage, AI-powered code review. This isn't theoretical. We deploy 3-8 production changes per day using the same harness engineering model we implement for clients. AI as the primary builder, humans as architects and validators.

  • AI agent development — lead scoring, support triage, briefing generation
  • Claude and GPT integration for internal tools and workflows
  • Self-healing feedback loops — errors detected, triaged, and fixed automatically
  • AI-powered code review (security, quality, dependency scanning in parallel)
  • Feature flag systems with automated rollout and kill switches
  • AI-native QA — validation moves at implementation speed, not human speed

AI-first means redesigning the process — not bolting ChatGPT onto your existing workflow

AI-assisted gets you 10-20% faster. AI-first — redesigning planning, building, testing, and deployment around AI — gets you 10x faster.

We ship weekly, not quarterly. Monorepo architecture, automated CI/CD, feature flags for gradual rollout, and AI-generated test suites. Every feature goes through a 6-phase pipeline: verify, build dev, test dev, deploy prod, test prod, release. Your team inherits this velocity when we hand over.

  • Full-stack development — frontend, backend, API, infrastructure
  • CI/CD pipeline setup with automated testing at every stage
  • Feature flag implementation (Statsig, LaunchDarkly, or custom)
  • Monorepo migration for codebase legibility and agent-readiness
  • Automated E2E, integration, and unit test generation
  • Production deployment with circuit-breaker rollback and monitoring

Your org ships weekly — because we restructure for velocity, not just add engineers

The bottleneck is almost never "we need more developers." It's fragmented code, manual testing, missing feature flags, and synchronous decision-making. We fix the system, not just the symptoms.

Growth strategy without operational execution is a slide deck. We restructure the operational layer — how decisions get made, how data flows between teams, how experiments get approved and shipped — so your organisation can actually execute at the speed your strategy requires.

  • Org audit — why are you shipping monthly instead of weekly?
  • Decision-making process redesign (async approvals, decision docs)
  • Cross-functional workflow mapping and handoff automation
  • Revenue operations — CRM, billing, and pipeline connected
  • Weekly experiment cadence embedded in your team's rhythm
  • Operational dashboards replacing manual status updates

Your org stops being the bottleneck between strategy and execution

Right now: 1 experiment/month = 1 month of learning. After restructuring: 8 experiments/month = 8 months of learning compressed into one.

The problem isn’t finding developers. It’s everything that has to happen before and after they write code.

Most founders and product teams hit the same wall: the brief is in someone’s head, the spec never quite gets written, and the feature that keeps getting bumped is still six months away. Here’s what that looks like.

"You hired a dev agency. Now you spend half your time managing them instead of running your company."

Dev shops deliver code. They don't deliver product thinking. Every spec gap, every edge case, every "is this what you meant?" costs you time and sprint velocity. We bring the PM and the product specialist — so you don't have to be them.

"The brief is in your head. Every time you try to write it down it turns into a 40-page document nobody reads."

We start with a 20-minute scoping call. We write the spec. We own the delivery. You review the milestones and approve the output — not the process.

"Your internal team has a roadmap. There's a feature that keeps getting bumped because they're stretched."

The embedded team model lets us run parallel to your internal team — picking up the features that keep getting pushed, without disrupting what's already in progress.

"The feature shipped. You have no idea if it's working."

Every sprint we run includes instrumentation. Not as an afterthought — as part of the spec. You can see immediately whether the feature is moving the metric it was built to move.

Fixed price if you know what you’re building. Flexible team if you want to start small.

Two sprint options with a defined deliverable and a fixed price. One embedded team option for founders who want to move fast without committing to a full build upfront.

FIXED DELIVERABLE · 6–8 weeks

Feature Sprint

$15K–$28K

One feature. Designed, built, and shipped in 6–8 weeks. You describe the outcome — we scope it, spec it, build it, and ship it at a fixed price.


  • Feature spec and user flow design
  • Frontend and backend development
  • Instrumentation included — you know if it's working from launch
  • QA and staging review
  • Production deployment and full handover

Your feature ships on time and on budget — measured and validated immediately.

FLEXIBLE · No minimum · Pause anytime

Embedded Dev Team

from $45/hr

Developers working alongside your team — or running the full build independently. You direct the work. We own the delivery quality and bring the product thinking.


  • Developers from $45/hr — one or more based on the workload
  • PM hours included — spec, coordination, milestone tracking
  • Product specialist hours included — what to build, not just building it
  • Weekly sync and async standups
  • Pause or stop anytime — no minimum commitment

Most founders start here, then move to fixed-price sprints once the relationship is proven.

Product + dev in one team

You don't manage the PM separately from the dev. We bring both — so what gets built is what was needed, and you're not the coordination layer.

Analytics built in

Every sprint includes instrumentation. You can see immediately if the feature is moving the metric it was built to move. No guessing a quarter later.

Design + GTM when you need it

Design and copywriting partners embedded at sprint planning — no sourcing overhead on your side.

AI/ML capability on tap

The same team builds AI features when you're ready. No agency-hopping when your product needs an intelligence layer added to what we've already built.

Six capabilities in every sprint. None of them optional.

The biggest driver of expensive rework isn't bad code — it's a brief that was never quite right. We run a structured scoping call before anything gets estimated. You leave knowing exactly what's being built, why, and what success looks like — before you commit to a single dollar.

  • 20-minute scoping call — outcome-first, not feature-first
  • Complexity and dependency mapping
  • Fixed-price or hourly recommendation based on scope clarity
  • Tech stack review — build on what you have or start clean
  • Risk and assumption flagging before sprint kick-off
  • Milestone structure defined before work begins

A clear scope before a line of code is written

Most sprints go wrong at the brief. We fix that first — so what gets built is what was needed, not what was easiest to estimate.

Developers build what the spec says. If the spec is vague, the output is vague. We write the feature spec — user flows, edge cases, acceptance criteria — so your team isn't making judgment calls in the middle of a sprint that should have been made at the start.

  • Feature spec with user flow diagrams
  • Edge case and exception state documentation
  • Acceptance criteria for every deliverable
  • UI design and interaction patterns where needed
  • API contract definitions for backend integrations
  • Spec review sign-off before build begins

A spec that prevents rework — not one that causes it

A week of spec work prevents three weeks of rework. We write it, own it, and don't start the sprint until you've approved it.

Milestone-based delivery means you never have a big reveal at the end. Working code at each stage. You review it, you approve it, and the next stage starts from a foundation you've already seen. No surprises. No "that's not what I meant" six weeks in.

  • Milestone-based delivery — working code at each stage
  • Regular async progress updates without needing to run standups
  • Staging environment reviews before production deployment
  • QA on every milestone — not just at the end
  • Scope drift identification and change process
  • Production deployment with rollback plan

Features that ship on time because the spec was right

Delivery quality is a function of how well the sprint was set up. We invest in the setup — so the build runs clean.

A feature that ships without measurement is a feature you can't defend. We build analytics instrumentation into every sprint — not as an afterthought, but as part of the spec. You can see from day one whether what shipped is moving the metric it was built to move.

  • Event tracking scoped alongside the feature — not added later
  • PostHog, Mixpanel, or Amplitude setup and configuration
  • Funnel and conversion tracking from feature entry to outcome
  • Feature flag setup for controlled rollouts
  • Dashboard creation — the metrics that matter, visible in one place
  • Instrumentation handover — your team knows what to watch

You know from launch whether the feature is working

Most teams add analytics three months after launch when someone asks if the feature worked. We add it to the spec on day one.

Your internal team has a roadmap and a backlog that keeps growing. The embedded team model lets us run parallel — picking up the features that keep getting pushed, without disrupting what's already in progress. Product management hours included. You direct the work, not the team.

  • Developers from $45/hr — scale up or down as the roadmap changes
  • PM hours included — no separate project management overhead
  • Product specialist hours for feature prioritisation and spec quality
  • Async-first working model — minimal meeting overhead
  • Pause or stop anytime — no minimum commitment, no lock-in
  • AI/ML capability available when you're ready to add it

A parallel build lane that doesn't disrupt your internal team

Most founders start here — one feature, one sprint, see how the relationship works — before moving to a fixed-price build.

When we're done, your team owns it. Not just the code — the documentation, the instrumentation, the monitoring setup, and a walkthrough session so nobody is dependent on us to keep it running. Handover is a deliverable, not a formality.

  • Full codebase documentation and architecture notes
  • Environment setup guide — how to develop, test, and deploy
  • Monitoring and alerting setup — what to watch and when to act
  • Analytics dashboard walkthrough — what each metric means
  • Live handover session with your technical team
  • 30-day support window for questions after handover

Your team owns it from day one — no dependency on us

We build to hand over, not to retain. Documentation and monitoring are part of every sprint by default — so you're never calling us to fix something you don't understand.

More devs without a PM means you ship faster — and ship the wrong things.

The dev shop model gives you execution speed on whatever the brief says. The problem is the brief — who writes it, who owns it, who catches the edge cases before they become expensive rework.

We connect the build to the outcome. What ships is what was needed — and you can measure it immediately.

One call to scope it. Weeks to ship it. You approve at every milestone.

01

Scope — free 20-minute call

You tell us what needs to be built. We identify the scope, estimate the complexity, and give you a fixed price or an hourly structure — before you commit to anything.

02

Spec + build — milestone-based delivery

We write the spec, design the flows, and build against your actual tech stack. Regular milestone reviews. You approve the output at each stage — you're never surprised by what arrives.

03

Ship + measure — deployed with instrumentation

Live in production with measurement in place. You can see immediately if the feature is working. If you want to keep going, the team is already up to speed — no ramp-up for the next sprint.

Best for founders and product teams who want the build done — not just the engineers managed.

Good fit

  • You have a defined feature or product to build and need it done without hiring
  • Your internal team is stretched and there's a backlog of features growing
  • You want PM and product thinking included — not just code delivered
  • You want a fixed price, or a flexible hourly team you can adjust as needed
  • You're happy to start small with the embedded team and scale up once proven

Not the right fit

  • You want a team that operates without you — no syncs, no context, no decisions from your side
  • You're optimising for the lowest hourly rate regardless of what actually gets shipped
  • You have no problem statement — you want us to invent your product concept, market, and business model from zero
  • You need enterprise procurement before day one — MSAs, InfoSec reviews, 90-day contract cycles

PM, specs, and measurement included. Not billed separately.

Product management, analytics instrumentation, and a working handover come with every engagement by default. You don’t manage the team — you review the milestones and approve the output.

FEATURE SPRINT
$15K–$28K

One feature. Scoped, built, and shipped in 6–8 weeks at a fixed price. You describe the outcome — we spec it, build it, and ship it.

  • Feature spec and user flow design
  • Frontend and backend development
  • Analytics instrumentation — tracked from launch
  • QA and staging review
  • Production deployment + full handover documentation
  • PM and product specialist hours included
EMBEDDED DEV TEAM
from $45/hr

Developers working alongside your team, or running the full build independently. Flexible — pause or stop anytime, no minimum.

  • Developers from $45/hr — scale up or down as needed
  • PM hours included — spec, coordination, milestone tracking
  • Product specialist hours included
  • Weekly sync and async standups
  • No minimum commitment — pause or stop anytime
  • AI/ML capability available when you're ready

Four things in your scope document before you commit to a penny.

These commitments are written into every engagement before work starts — not assurances we offer after something goes wrong.

Scope Guarantee

Fixed price on sprints, agreed before work starts. Every invoice matches a milestone you approved. No billing surprises, no open-ended scope.

PM Guarantee

Product management and project oversight included in every build. You don't need to hire a PM or manage the team yourself — that's part of what we deliver.

Ship Guarantee

What we scope, we ship. Milestone-based delivery with working, reviewable code at every stage. No big reveal at the end — you see progress throughout.

Measurement Guarantee

Every sprint ships with instrumentation live. You can see immediately whether the feature is working — not weeks later when someone thinks to check.

One person. Responsible for what ships — not just the team managing it.

No account managers, no junior handoffs. Jake runs every sprint directly — from the scoping call through to production handover — so there’s one person accountable for the outcome.

Jake McMahon
Jake McMahon — Founder, ProductQuant

I'm Jake. 8+ years in B2B SaaS product and growth — not as a developer shipping features, but as the person accountable for whether those features moved the business. I've scoped, staffed, and delivered product sprints across healthtech, adtech, edtech, and B2B tools. I know the difference between a well-built spec and one that creates expensive rework at week four.

I started ProductQuant because I kept seeing the same problem: founders and PMs managing dev shops with no product thinking in the team. Engineers shipped exactly what the brief said. The brief was wrong. Nobody caught it until the feature was live and the metrics didn't move.

Background BSc Behavioural Psychology · MSc Data Science
Experience 8+ years B2B SaaS product & growth
Industries Healthtech · Adtech · Edtech · AI tools
What I will do:
Scope your build correctly before a line of code is written. Write the spec, staff the team, and own the delivery quality end-to-end — so what ships is what was needed, not what was easiest to build. Every sprint includes instrumentation. You know from launch whether it's working.

What most people ask before booking a call.

That's what the scoping call is for. In 20 minutes we'll get a clear picture of what you're building, the complexity involved, and which engagement type fits — fixed-price sprint, full app build, or embedded team. Most founders arrive thinking they need one and leave with a much clearer view. No cost, no commitment.
A Feature Sprint is a single, well-scoped feature delivered in 6–8 weeks at a fixed price. An App Build Sprint is a full product — a net new app, an MVP, or a major rebuild — delivered over 10–14 weeks. Both are fixed price and milestone-based. The right choice depends on whether you're adding to something that exists or building something new.
It means you don't manage the team. We write the spec, run the milestone reviews, manage the dev delivery, catch scope drift before it becomes expensive, and keep you updated without needing to run standups yourself. Product management hours are included in every sprint and embedded team engagement — not billed separately, not outsourced to you.
Every sprint starts with a written scope document: exactly what gets built, what's out of scope, what the deliverables are, and when the engagement ends. The price is tied to that scope. If requirements change mid-project, we have a conversation and agree a scope change in writing before any additional work starts. You never receive an invoice for work you didn't approve.
Typically 1–2 weeks from scoping call to kick-off, depending on what you're building and how ready you are with context, access, and approvals. The embedded team model can start faster — sometimes within days. Fixed-price sprints take a week of spec work before build begins.
That's a requirement, not an afterthought. Every sprint includes full documentation of what was built and how it works. Handover includes a walkthrough with your team. Where we've built analytics instrumentation, we define what to monitor and how before we close out — so you can tell if something breaks rather than finding out when a metric drops. The goal is for you to own it fully from launch.

You leave the first call with a scope, a price, and a timeline.

Tell us what you need built. We map the complexity, give you a fixed price or hourly structure, and tell you exactly how long it takes — before you commit to anything.

No pitch. No questionnaire. Just a clear scope and a price before you decide.