KM-301i · Module 3
Knowledge Health Scores
3 min read
A knowledge health score is a single composite metric that summarizes the current state of the knowledge base across multiple dimensions. Like the KRS from KM-301f, it makes a multi-dimensional quality state visible in a single number that can be trended over time and reported to leadership without requiring them to read a five-page metrics report. The knowledge health score is not a substitute for the underlying metrics — it is a summary instrument for executive communication and trend monitoring.
- Coverage Score (0–25) What percentage of the priority use cases have adequate knowledge base coverage? Score: (percentage of priority use cases with zero-result rate below 5%) × 25. A score of 25 means all priority use cases are well-served. A score of 0 means the knowledge base does not cover any priority use case adequately. Coverage is the first health dimension because it is the prerequisite for all other value.
- Quality Score (0–25) What percentage of knowledge base articles meet the defined quality standard? Score: (percentage of articles rated positively by users in the last 90 days, among articles with sufficient rating volume) × 25. Articles with insufficient rating volume are not penalized — they are flagged for review. Quality without usage data is assumed at the median.
- Freshness Score (0–25) What percentage of knowledge base articles are within their defined freshness SLA? Score: (percentage of articles certified as current within SLA) × 25. An article that has not been reviewed within its defined review cycle is not counted as current regardless of its actual accuracy. Freshness is a governance metric — it measures whether the maintenance system is working.
- Adoption Score (0–25) What percentage of the target practitioner population actively uses the knowledge system? Score: (monthly active user rate as percentage of total target practitioners) × 25. An adoption score of 25 means the full target population uses the system at least once per month. Adoption is the ultimate health signal: a knowledge system that the target population does not use has zero actual value regardless of its quality and freshness scores.
Do This
- Report the knowledge health score to leadership monthly alongside the full metric breakdown
- Trend the score over time — direction is as important as absolute value
- Investigate any dimension score below 15 as a critical quality gap
- Set improvement targets for the health score annually: "From current score to target by end of year"
Avoid This
- Use the health score to hide poor dimension scores behind a passing aggregate — present the full breakdown alongside the composite
- Set a target health score without defining improvement actions for each underperforming dimension
- Compare your health score to industry benchmarks before defining what "healthy" means in your specific organizational context