PD

PilotDeck // working studio

Shape the pilot before engineering inherits the ambiguity.

Discovery intakeScored backlogRollout brief
PilotDeck studioStrategy to implementation

Turn messy discovery into a pilot you can actually defend.

This MVP is designed to answer the upstream deployment question: what should we build first, why, and what would the rollout actually look like?

Find the fastest pilot inside returns, delay handling, and support load.

Scenario

E-commerce support operations

An online retailer wants to improve support operations without expanding headcount before peak season.

Discovery notes

4

Sentence count used as a rough signal for discovery richness.

Systems mapped

5

More concrete systems mean higher feasibility and better scoping.

Metrics named

6

Explicit KPIs improve stakeholder clarity and pilot quality.

Workspace input

Discovery intake

E-commerce

Artifact import

Drag in a plain-text workshop summary, SOP excerpt, or interview note and append it directly to discovery notes.

Prioritization weights

Workspace shelf

Saved sessions and next move

0 saved locally
Save one good workshop state locally and use it as your live demo anchor.
Select a scenario, tighten the inputs, then generate a pilot recommendation.

Useful MVP, not vague slideware.

This studio already helps with a real deployment problem: comparing multiple AI opportunities against value, feasibility, and risk before any pilot is funded.

Intake

Capture messy workshop material without pretending it is implementation-ready yet.

Prioritize

Score multiple candidates instead of letting the loudest stakeholder pick one.

Bridge

Produce a solution brief and memo strong enough to hand off into ResolveOps.