PM, strategy, analytics, A/B testing, and ML — one embedded partner covering disciplines you’d otherwise need 3 to 5 hires to fill. Your team learns by working alongside it every week. Shipped work gets measured. Every quarter ends with data your board can read, not a progress update. And over time: a product that grows faster, a team that compounds, and a valuation that reflects what product is actually delivering.
From $97/hr — scope and schedule agreed before we start.
Most teams end the first quarter with 3–5 meaningful product improvements shipped and measured — with clear data on what each one moved. Enough to show your board exactly what product did this quarter.
A hard limit on what’s in-flight is what separates a busy backlog from shipped product. Two workstreams maximum — everything else waits its turn rather than slowing everything down at once.
Success criteria are defined before build starts — not after. When the work lands, you know within the agreed window whether it moved the metric it was supposed to move.
The problem isn't strategy. Your team knows what users need. The problem is that ideas sit in the backlog for months, the ones that do reach engineering aren't ready, decisions get reopened in every meeting, and the work that ships lands without any way to measure whether it worked — so next quarter starts with the same questions as last quarter.
"We know what users need. We just can't get it through engineering without months of back-and-forth."
"We released three improvements last quarter. We have no idea if any of them actually moved the needle."
"Without a clear active/next/parked structure, every stakeholder conversation resets the queue."
"The same questions come up in every meeting. Nothing closes. Engineering is waiting."
Good product judgment, a clear measurement habit, and practical help getting work through to shipping — inside your team every week, not handed over in a document and left for you to figure out.
Backlog cut. Initiative selection. Success criteria defined before build begins.
Engineering-ready briefs. Clean handoffs. Decisions closed in 72 hours.
Measurement plan attached. Post-ship readout. Each result informs the next decision.
Priorities get cut to Active/Next/Parked. The right things move. Stale ideas get parked instead of floating at the top of every sprint. Your team stops spending half of every planning session relitigating what should move and starts using that time to actually ship it.
Every piece of work reaches engineering with a problem statement, hypothesis, success criteria, scope, and measurement plan — all agreed before building starts. Engineering doesn't have to stop halfway through and wait for answers. The weeks your team spends on back-and-forth that should have been in the brief drop close to zero.
Every piece of work ships with a measurement plan. A few weeks later, the numbers come back — whether sign-up completion, activation, or retention moved, or didn't — and you know exactly what to do next. You stop releasing things and guessing. Each result tells you what to build next instead of starting from scratch.
Your highest-stakes product decisions — what to prioritise, what to kill, what to test — get a second brain that's seen the same problems across multiple B2B SaaS teams. Monthly session plus async access. No delivery overhead, just better decisions.
Your team ships faster. Your initiatives reach engineering with zero ambiguity. Every shipped improvement has a measurement plan. And at the end of 90 days, your board has a clear commercial read on what product actually did last quarter.
Most teams end their first quarter having shipped 3–5 meaningful product improvements, with a clear working pattern the team can sustain week to week, and numbers attached to every piece of work that shipped — enough to say exactly what product did last quarter, what it changed, and what comes next.
Backlog cut into Active/Next/Parked. Metrics standardised. 3–5 initiatives selected and packaged for engineering. By week two, your team knows exactly what it's building and why — and engineering isn't waiting for clarity.
First meaningful improvements live. First impact readout shows what moved — activation, retention, or both. Delivery rhythm is established. Your team has its first real read on what the product is doing to the metrics.
Shipping continues. Commercial reads get sharper — you can see which improvements moved revenue metrics and which didn't. Quarter readout gives you a focused Q2 plan backed by data, not gut feel.
By day 90: 3–5 meaningful improvements live in the product. Key user journeys measurably improved. Every shipped initiative has a commercial read attached. And a delivery system that gets faster and sharper each quarter — not slower and heavier. Your board has answers, not status updates.
What is moving, who owns it, what decisions are needed, and what done means for the week.
Every initiative reaches build with a problem statement, hypothesis, success criteria, scope, non-goals, acceptance criteria, rollout plan, and measurement window — all defined before engineering starts. Mid-build resets drop to near zero.
Primary metric, supporting signals, event requirements, and QA checklist — so every shipped initiative gets a commercial read, not a shrug. You stop shipping things and wondering if they worked.
Open loops stay visible and die fast. The 72-hour rule keeps engineering unblocked. Your team stops losing sprint cycles relitigating last month's decisions.
Delivery bottleneck audit, initiative shaping, analytics alignment, or roadmap reset — whatever the highest-value constraint is.
What shipped, what moved in metrics, what the early signals suggest, and exactly what to prioritise next. The board-ready version of what product did last month.
Where delivery is stalling, where measurement is too weak, what to simplify or accelerate.
I've spent the last eight years inside B2B SaaS product teams — figuring out what to build, writing the briefs, making sure things actually get through to engineering, and then measuring whether they worked. I've done this across onboarding, retention, automation, reporting, and monetisation — and the problem is almost always the same: the team has good ideas but the work between deciding and shipping is where everything slows down or falls apart.
Working alongside a team rather than advising from outside is the model that fixes that. You get someone who's actually in it with you each week — helping pick what to build, writing the briefs, making the calls, and tracking what changes in the numbers. Teams I work with ship more of the right things, find out faster what worked and what didn't, and carry that way of working forward after we're done.
Yes — ideally a product counterpart who owns domain decisions and can represent user context. I work alongside your PM, not in place of one. If you don't have a PM yet, advisory is the better starting point.
Book a 30-minute call. Talk through where your delivery is stalling and whether embedded delivery is the right move for your team right now. No pitch deck. No proposal before the call.
30 minutes. Whether we work together or not, you'll leave knowing where your delivery gap is and what to do about it.