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B0222: Capability Build or Buy Framework

A decision-ready template derived from the framework.

Name variants

English
B0222: Capability Build or Buy Framework
Katakana
・ / フレームワーク
Kanji
能力内製化 / 外製化

Quality / Updated / Source / COI

Quality
Reviewed
Updated
COI
none

Context

Context: deciding build vs buy for a core capability often exposes disagreements about capability gap score, time to value, and total cost and the reliability of talent availability, vendor maturity, and IP sensitivity. Without a shared frame, the speed vs strategic control remains implicit and accountability erodes across reviews. A structured record is needed to keep decisions consistent as market conditions change.

Options

  • Option A: Keep the current approach to minimize disruption while accepting limited improvement.
  • Option B: Pilot a phased change, validate against agreed metrics, and scale once thresholds are met.
  • Option C: Redesign the approach end to end to pursue larger gains with higher execution risk.

Decision

Decision: Choose Option B. Validate capability gap score, time to value, and total cost early, confirm talent availability, vendor maturity, and IP sensitivity assumptions, and pause if the speed vs strategic control no longer holds. Document owners, constraints, and review dates.

Rationale

Rationale: Option B balances speed vs strategic control while preserving flexibility. It tests whether capability gap score, time to value, and total cost respond as expected to changes in talent availability, vendor maturity, and IP sensitivity before committing to a full rollout. This reduces the risk of locking in a costly path based on weak evidence and improves governance confidence.

Risks

  • Weak data quality can hide shifts in capability gap score, time to value, and total cost and delay corrective action.
  • Slow execution can magnify the downside of speed vs strategic control and reduce credibility in reviews.

Next

Next: Assign owners for capability gap score, time to value, and total cost and talent availability, vendor maturity, and IP sensitivity, finalize baseline values, and publish the trigger thresholds. Schedule the first review checkpoint and define stop conditions so the decision can be revised quickly.