Track Application Usage and Adoption - Identify Shelfware, Zombie Applications, and Underutilized Investment

Overview

Application assessment dimensions like technical fitness, business value, and security posture each answer a different question about an application — but none of them directly answer whether anyone is actually using it. An application can be technically current, formally mapped to a business capability, and free of known vulnerabilities, and still be consuming licensing, infrastructure, and support cost while producing negligible business value because almost no one uses it. Usage and adoption data closes this specific blind spot.

Best Practice

Capture usage and adoption data for every application where it is feasible to do so — active user counts, login or transaction frequency, and adoption trends over time — sourced from identity systems, application logs, or existing usage analytics rather than a dedicated tracking system built solely for this purpose. Flag applications with usage well below their licensed or provisioned capacity as shelfware candidates, and applications with usage at or near zero as zombie application candidates requiring active verification before retirement.

Treat usage data as a rationalization input alongside cost, risk, and technical fitness — not a standalone metric — since an application with low usage but high strategic or compliance importance (for example, a disaster-recovery system) may be intentionally idle rather than wasteful.

Best Practice: Advance Maturity Deliberately

Usage volume alone does not tell the whole story — an application with high usage but poor user satisfaction may reflect a lack of viable alternatives rather than genuine adoption success. Where user experience or satisfaction data is available (survey results, support ticket sentiment, or help-desk complaint volume, for example), capture it alongside usage data. An application with high mandatory usage and low satisfaction is a strong modernization or replacement candidate, even though its usage numbers alone would suggest it is thriving.

Usage data becomes most actionable when considered alongside cost: an application with low usage and low cost may not be worth the effort of formal rationalization, while an application with low usage and high cost — a high license fee, significant infrastructure footprint, or substantial support burden — is a priority candidate regardless of how technically sound it is. Pair usage findings with the application’s Order-of-Magnitude cost tier to prioritize rationalization effort where it will have the greatest financial impact.

Benefit(s)

Usage and adoption data exposes a category of waste that no other assessment dimension can see on its own — applications that are technically healthy, formally governed, and still producing little or no business value because they go unused. Identifying shelfware surfaces direct opportunities to eliminate license, infrastructure, and support cost. Identifying zombie applications surfaces low-risk, high-confidence retirement candidates, since an application with confirmed zero usage carries minimal business disruption risk when retired. And because usage data is typically already captured by identity and logging systems the organization operates for other purposes, adding it to the portfolio record requires connecting to existing data, not building new collection infrastructure.