M0-L3.1FDE Delivery Lifecycle
In one sentence: An FDE engagement moves through ten stages (Qualify → Discover → Define → Build → Integrate → Evaluate → Deploy → Adopt → Handoff → Productize), which group into the four responsibilities: Discovery, Production, Adoption and Feedback.
What it is
Section titled “What it is”The lifecycle is the four responsibilities from Lesson 1 broken into the stages you actually work through on a customer engagement.
| Stage | Key question | Typical output | Responsibility |
|---|---|---|---|
| Qualify | Is this worth doing, and can we do it? | Go / no-go, a sponsor, known constraints | Discovery |
| Discover | What is the real problem, and how does the work happen today? | Stakeholder map, as-is workflow, baseline | Discovery |
| Define | What exactly will we build, and how will we know it worked? | Scope, PRD or SOW, acceptance criteria, architecture hypothesis | Discovery |
| Build | Can we make the narrowest useful path work? | A running end-to-end slice, regular demos | Production |
| Integrate | Does it work with the customer’s real data, systems and permissions? | Connectors, access, data contracts | Production |
| Evaluate | Does it work reliably enough to trust? | Eval set, failure report, fixes | Production |
| Deploy | Does it run in production and can we see what it is doing? | Deployment, monitoring, runbook | Production |
| Adopt | Do real users use it, and does the metric move? | Pilot results, training, workflow change | Adoption |
| Handoff | Can someone other than the FDE run it? | Operating guide, ownership of each failure mode | Adoption |
| Productize | What goes back into the product? | Reusable assets, product feedback | Feedback |
Why an FDE needs this
Section titled “Why an FDE needs this”It is the outline of every engagement you will run and the structure behind every later module. It also gives you a shared vocabulary with customers and colleagues (“we are still in Integrate; security review is the blocker”).
Key concepts
Section titled “Key concepts”It is not a waterfall
Section titled “It is not a waterfall”Build, Integrate and Evaluate loop many times. Good FDEs show a narrow working path early and often (demo-driven development) instead of building everything for one big reveal. Adoption problems often send you back to Define, because what users actually do reveals a different problem.
Each stage has an exit question
Section titled “Each stage has an exit question”Moving on before a stage’s question is answered is the most common cause of late failure: building before the problem is defined, deploying before evaluation, declaring success before adoption.
Production is four stages, not one
Section titled “Production is four stages, not one”Beginners often think of “build” as the whole engineering job. In enterprise AI, Integrate, Evaluate and Deploy are where most of the time goes: data access, permissions, quality proof and operability.
Common misconceptions
Section titled “Common misconceptions”- “Deploy is the finish line.” Three stages come after it, and they decide whether the project created value.
- “Each stage needs a formal sign-off.” Small engagements move through several stages in a week. The stages are questions to answer, not paperwork.
- “Qualify is a sales step.” Saying no to a bad use case is one of the most valuable things an FDE does.
Typical interview questions
Section titled “Typical interview questions”Walk me through how you would run a twelve-week engagement with a new customer.
Spend the first one to two weeks on Qualify and Discover (stakeholders, current workflow, baseline, data access requests started on day one). Define a narrow scope with acceptance criteria. Build and demo a thin end-to-end path within the first month, then loop Integrate and Evaluate. Deploy to a pilot group, measure adoption against the baseline, prepare the handoff and list what should go back to the product.
Which stage do projects most often get stuck in, and why?
Usually Integrate: data access, permissions and security review take far longer than building. Starting those requests during Discovery is the standard mitigation.
Learn more
Section titled “Learn more”- Article: A Day in the Life of a Palantir Forward Deployed Software Engineer (Palantir blog, about 10 min) — several of these stages in one working week
- Video: The FDE Playbook for AI Startups with Bob McGrew (Y Combinator) — chapter 41:14, “Building with Demo-Driven Development,” about 4 minutes