Feature Sprints · App Builds · Embedded Dev Teams

Led by Jake McMahon

Founder, ProductQuant · LinkedIn

Get the revenue-driving features on your backlog shipped. Fixed price. Guaranteed metrics.

We bring the product thinking, the spec, the full team, and the proof it's working. You review milestones. You don't manage the process, chase the deadline, or figure out if it moved the metric.

Book a free scoping call See the offers

8-week sprints · PM + Designer + Engineers included · If we don't ship agreed scope in 8 weeks, we finish at no extra charge

Three Ways to Engage

Feature Sprint Fixed-scope sprint

App Build Sprint Fixed-scope build

Embedded Partner scoped engagement, no billing surprises

Fixed price on sprints
No minimum on dev team

Built for B2B SaaS teams shipping at pace

PRODUCT

SHIPPED

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

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 →

What We Build

Have a specific build in mind? Start there.

Every sprint is fixed-scope with a clear outcome. Pick the category that matches your build — or book a call and we’ll scope it together.

Web Apps

SaaS products, dashboards, and portals

When the product lives in a browser — whether that’s a customer-facing SaaS app, an internal operations dashboard, or a B2B portal your clients log into.

A fully functional, deployed web application — production-ready, instrumented, and handed over with documentation.

SaaS Dashboard

Multi-tenant web app with auth, roles, billing integration, and a product analytics layer.

Internal Tool

Operations dashboard, admin panel, or workflow tool for your team — built to your exact process.

B2B Client Portal

Branded portal your clients log into — reports, project tracking, document sharing, messaging.

Marketplace or Directory

Two-sided platform with listings, search, profiles, and transaction or booking flows.

Mobile

iOS, Android, and cross-platform apps

When your product needs to live on a phone — whether that’s a native experience, a React Native cross-platform build, or a mobile-first web app.

App store ready — submitted, approved, and live. With crash monitoring and analytics wired in from day one.

React Native App

Single codebase, iOS and Android — full feature parity, native performance, one build cost.

iOS Native App

Swift app built for the App Store — optimised for iOS conventions, performance, and review guidelines.

Mobile-First Web App

PWA or responsive web app optimised for mobile — no app store required, instant distribution.

API & Backend

The layer that powers your product

When you need the infrastructure behind the interface — APIs, microservices, third-party integrations, or the data layer that everything else depends on.

A documented, tested, and deployed backend your frontend team can build against — with monitoring and rate-limiting in place.

REST or GraphQL API

Designed, built, versioned, and documented — ready for your frontend or third-party consumers.

Third-Party Integrations

Stripe, HubSpot, Salesforce, Slack, Zapier — connected cleanly with error handling and retry logic.

Webhooks & Event Systems

Event-driven architecture for real-time triggers — notifications, syncs, and downstream automation.

AI/ML & AI Engineering

Build AI into the product, not on top of it

When the roadmap calls for an AI feature, an LLM integration, or a machine learning model that ships as a real product capability — not a demo.

A production AI feature with monitoring, fallback logic, and a business metric it’s measured against.

LLM Integration

GPT-4, Claude, Gemini, or open-source models wired into your product with prompt engineering and guardrails.

RAG Build

Retrieval-augmented generation over your own data — search, Q&A, or knowledge base feature.

AI Feature Sprint

Smart recommendations, auto-summaries, semantic search, or classification — scoped, built, shipped.

ML Model Build

Custom ML model trained on your data — churn prediction, scoring, forecasting — production-deployed.

Analytics & Instrumentation

Wire up the data before you need it

When you’re building something new and you want the data layer right from the start — not retrofitted six months later after you’ve lost the early signal.

A product analytics stack that captures every meaningful event from day one — so your first cohort analysis has data worth acting on.

Event Tracking Setup

PostHog, Amplitude, or Mixpanel instrumented with the right events from launch — not after the fact.

Product Dashboard Build

Key metrics surfaced in a dashboard your team checks weekly — activation, retention, revenue.

A/B Testing Infrastructure

Feature flags and experiment framework set up — first test designed correctly and run to completion.

Why We Build It Differently

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

We bring the full stack: product strategy, analytics instrumentation, design, AI, development, and business operations — all running AI-first workflows that ship on a cadence that moves your roadmap forward.

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.

Why Features Stay in the Backlog

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

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 actually looks like.

"You hired a dev team. Now you're a project manager."

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.

"Your brief is a 40-page document nobody reads."

We write the spec. We own the delivery. You review milestones, not manage the process.

"Your roadmap feature keeps getting bumped."

Your internal team is stretched. We run parallel to them, shipping the stuck features without disrupting their flow.

"The feature shipped. You have no idea if it works."

Our sprints include instrumentation in the spec. You see metric movement the week it goes live, not 6 weeks later.

✓ Feature shipped

The thing that’s been in the backlog for 3 months is live. In 8 weeks. Fixed price. Full team. No scope creep.

✓ Metrics instrumented

You can see immediately whether the feature is doing what it was built to do — not in a retrospective 6 weeks later.

✓ Full team, no hiring

PM, designer, and engineers in one engagement. Not three separate contracts, three onboarding processes, and three Slack channels.

Three Ways to Work Together

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.

Your Team

1 Product Lead + 1 Designer + 2 Full-Stack Developers

Week 1: Scoping call + requirements
Weeks 2–3: Design + spec
Weeks 4–6: Development + instrumentation
Weeks 7–8: QA, testing, handoff

Your outcome: Feature lives in production. Team trained. If launch metric doesn't improve 10%+, next sprint is free.

FULL BUILD · 10–14 weeks

App Build Sprint

$45K–$90K

A product — or a significant rebuild — delivered to production. Scoped, staffed, and delivered at a fixed price with full documentation and handover.

Your Team

1 PM + 1 Lead Designer + 3–4 Full-Stack Developers

Weeks 1–2: Discovery + scoping
Weeks 3–5: Design + architecture
Weeks 6–12: Development + testing
Weeks 13–14: Launch prep + handover

Your outcome: Live product with docs + team training. If you're not operating independently by week 16, we continue free until you are.

FLEXIBLE · No minimum · Pause anytime

Embedded Dev Partner

Scoped engagement

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.

Your Team

N developers (your call) + Product hours included

Senior full-stack developers — scoped to your roadmap
Product + spec hours automatically allocated
Design support on demand
Weekly planning + async standups
Pause or step out anytime — no contract

Your outcome: Flexible capacity. Most scale from hourly to fixed-price sprints within 3–4 months once velocity 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.

What We Cover

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 scoped to your roadmap — scale up or down as priorities shift
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.

From Call to Shipped

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

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.

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.

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.

Who This Is For

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

What’s in Every Engagement

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

Most common

APP BUILD SPRINT

$45K–$90K

A full product — net new app, MVP, or major rebuild — delivered to production over 10–14 weeks at a fixed price.

Full product spec and architecture design
Frontend and backend development
Analytics stack setup from day one
Milestone-based delivery — you review at each stage
QA, staging, and production deployment
Complete documentation and handover session

EMBEDDED DEV PARTNER

Scoped engagement

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

Senior developers scoped to your roadmap — 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

What We Commit To

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.

Who You’re Working With

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 — 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

LinkedIn jake-mcmahon-product-ai

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.

Common Questions

What most people ask before booking a call.

How do I know which engagement type is right for us?

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.

What's the difference between a Feature Sprint and an App Build Sprint?

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.

What does "PM included" actually mean?

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.

What does "fixed scope" actually mean in practice?

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.

How quickly can you start?

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.

Will our team be able to maintain this after you leave?

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.

Book a free scoping call Send an email instead

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