Checklist / Scorecard
Prototype-to-Production Readiness Scorecard
A practical framework for finding the production gaps that a working connected-product prototype can still hide.
How to use the scorecard
Use the scorecard before a pilot build, before a manufacturing handoff, or when a connected product keeps producing unclear field issues. The point is not to create a perfect grade. The point is to force the team to name what the product can prove today and what still depends on hope, memory, or clean-bench conditions.
Score each area with the people who own the product day to day: hardware, firmware, app, cloud, support, and operations. A useful review should expose disagreements. If firmware says device state is clear but support cannot explain a returned unit, that gap is the work.
What each scoring area reveals
- Recovery exposes whether the product can fail, restart, reconnect, and explain what happened without a bench engineer nearby.
- Diagnostics expose whether support, firmware, cloud, and mobile teams can see the same useful history.
- App and cloud compatibility exposes whether setup, state, permissions, and backend records agree under real conditions.
- Supply and factory readiness exposes whether the product can be built, tested, and traced repeatedly.
- Ownership exposes whether every risk has a person, next action, and validation path.
What a weak score means
A weak score is not automatically a blocker. It is a signal that the next build or launch plan needs a narrower risk-reduction step. Weak diagnostics may mean adding firmware events before building more dashboard screens. Weak factory readiness may mean building a repeatable production test before ordering more units.
The dangerous score is the one nobody can justify. If a category feels green because the prototype worked once, it should usually move back to yellow until the team can point to evidence.
What evidence should exist after review
- A short risk list ordered by production impact, not by team preference.
- An owner for each weak area and a next validation step.
- A clear distinction between customer-facing status and engineering diagnostic truth.
- A list of signals the system must capture before the next pilot or production build.
- A decision on what can wait and what must be fixed before more units ship.
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