Same playbook. Real teams.
Prota’s Validate program, reworked for teams shipping with AI. A productized engagement that turns “we shipped, we are not sure if anyone wants it” into a kill-or-commit decision backed by real evidence, in weeks not quarters.
Same playbook. Real teams.
AI collapsed the cost of shipping. Teams are producing more software than at any point in the last decade. It used to be that build was the hard part. Now the hard part is knowing whether anyone wants what you built.
Coaching will give you a framework. Tools will give you a feature. Neither gets you to a decision your board will accept.
The Learning Sprint is the productized form of Prota’s Validate program, a decade of evidence work now tuned for the pace of agentic delivery. A multi-disciplinary team runs a tested playbook. We design the tests, run them, instrument them, and deliver decision-ready artifacts. The output is a kill-or-commit recommendation, not another framework.
The Sprint gives you a structured parallel track. Small. Instrumented. Decision-grade. So the next capital call is based on evidence, not velocity.
We use the same agentic tools inside delivery. Research, test build, analytics, synthesis, all compressed. That is how a program this thorough is deliverable in weeks instead of quarters.
Most validation work ends in a framework. The Sprint ends in a two-page memo. Every load-bearing assumption is marked supported, invalidated, or inconclusive, with evidence attached and a confidence level named. The recommendation is explicit. Continue. Reshape. Stop.
It is written the way a board wants to read it. What you knew before. What you know now. What changed the answer. What is still uncertain. What you would do in the next 90 days.
Is what you are building worth continuing to build?
A fast outside read on what you already know. Risk-scored recommendation memo with confidence levels.
Two to three live, instrumented tests. A kill-or-commit memo backed by new evidence and a 90-day roadmap.
Two validation loops. Activation prototypes. Growth model. Operating engine handed to your team.
Not sure which tier is right? 30 minutes on a call, we can tell you.
The same method strip that runs every Prota engagement, inside the agentic-age timeline. Discover what we do and do not know. Experiment against the riskiest assumptions. Align on what the evidence says. Execute the next 90 days. Iterate as the evidence changes.
Seed to Series B. Shipping with AI. Mid-build. A capital commit, a pivot, or a hiring call is three weeks away and the evidence is not as strong as the velocity.
BU and Innovation sponsors with a validation mandate. The board wants proof that the bet is worth continuing to fund, and the proof has to be defensible.
Post-PMF teams opening a new surface area. The cost of being wrong at the next step has gotten large enough that a structured read is cheaper than the miss.
A portfolio of ideas, 100-plus experiments, and multiple new products. We installed an experimentation framework that produced comparable signals across bets and a reliable kill-or-commit cadence.
Read moreDiscovery, prototype, and demand testing that gave leaders decision-ready evidence to scale, pivot, or stop. Moved from new product category to validation and prototype to MVP launch.
Read moreOnboarding and activation work supporting a crowdfunding raise that reached roughly twenty million in pre-sales, which funded the seed round.
Read moreMessage and offer tests, merchandising improvements, and analytics cleanup that produced a focused growth plan the team could execute.
Read more| Learning Sprint | Continuous Validation | |
|---|---|---|
| Decision shape | One question, one answer. | Many questions, on a rolling clock. |
| Duration | 2 to 12 weeks (L1 / L2 / L3). | Monthly or quarterly retainer; engagements typically 6 to 12+ months. |
| Output | Two-page decision memo. | Monthly decision memo + rolling portfolio view. |
| Insights compound? | Within the engagement. | Across cycles, that’s the whole point. |
| Best for | A specific decision on the calendar. | A team whose validation questions keep changing. |
Pick the Learning Sprint when you have one decision on the calendar, a fundraise, a roadmap call, a board commit, a launch, and you need evidence on a specific date. Pick Continuous Validation when your validation question keeps changing, innovation portfolios, scaleups in growth-strategy mode, founders iterating positioning weekly. Same methodology, different cadence. See Continuous Validation for the always-on alternative.
A multi-disciplinary Prota team. We keep the make-up of the team appropriate to the tier and the work. What we commit to is a full team, not a single consultant.
We use the same agentic tools our clients are shipping with, applied to research synthesis, test build, analytics, and qualitative coding. The evidence standard stays the same. The timeline compresses from quarters to weeks.
Yes, with a short scoping conversation. Teams that already have validated signal or a board-level mandate for proof at scale often start at L3.
That is a win, not a failure. An invalidated assumption saved before the next capital commit is the highest-value outcome the Sprint produces.
Yes, before any material is shared. We run signed NDAs as a default part of the intake for every tier.
L1 is one payment. L2 is two, on kickoff and on delivery. L3 is monthly across the 12 weeks. All fixed-fee, no hourly billing.
Tell us what you are building and the decision you are trying to make. We will tell you which tier fits and what a Sprint would look like. No pitch.
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