WIKI  (LOCAL-MD-001)MODE: READ_ONLYSYS_TIME: --:--:--
SECTION:fdePAGES:42CURRENT:field-patterns/proof-of-value-and-customer-migration.md
FDE-014field-patterns/proof-of-value-and-customer-migration.mdUPDATED: 07/14/2026

Proof Of Value And Customer Migration

Pattern

Name: Proof of value and customer migration

When to use it: When the customer needs proof that a solution can work in their environment and a path from the current system or workflow into the new one.

Why it matters for FDE roles: Recent FDE listings emphasize technical discovery, proof-of-value work, customer migrations, implementation playbooks, and hands-on delivery.

Plain-English Description

A proof of value connects a technical prototype to a customer decision. A customer migration connects that decision to the practical work of moving data, users, workflows, and trust into the new system.

Situation Signals

  • Job listing signal: proof of value, customer migration, technical discovery, implementation assets, first FDE, platform adoption.
  • Customer signal: the customer likes the product but needs evidence with their own data, systems, risks, and users.
  • Project signal: the team needs a scoped path from demo to rollout instead of a one-off prototype.

What To Ask

  • What decision should the POV unlock?
  • Which customer workflow, dataset, or integration makes the proof credible?
  • What is the current system of record, and what has to move?
  • What validation will show that migrated data or workflow state is correct?
  • Who owns cutover, rollback, support, and user communication?

What To Do

  • Define the business outcome and technical success criteria together.
  • Choose a narrow but realistic slice of customer data or workflow.
  • Map source fields, destination fields, owners, permissions, and exceptions.
  • Build validation checks before treating the migration as done.
  • Turn the engagement into reusable scripts, diagrams, notes, and playbooks.

Artifacts To Produce

  • Diagram: current-state to future-state workflow or data flow.
  • Checklist: POV success criteria and migration readiness.
  • Demo/prototype: narrow implementation using realistic customer inputs.
  • Customer-facing note: findings, risks, validation results, and next rollout step.

Failure Modes

  • The POV proves technical possibility but not business value.
  • Migration scope hides dirty data, permissions, or exception handling.
  • No clear owner for cutover or post-launch support.
  • Prototype artifacts cannot be reused for the next customer.
  • The customer sees a demo but not a credible path to adoption.

Interview Language

One sentence I could say in an interview:

I treat a proof of value as both a technical test and a migration rehearsal: it should prove the outcome, expose the messy data or workflow edges, and leave behind artifacts the team can reuse.

Relevant work experience for this pattern: