Abstract
Proposed herein is a self-calibrating system for measuring product adoption that continuously adapts how adoption is interpreted as customer behavior, peer usage patterns, and product capabilities evolve. Rather than relying on static thresholds or manually defined success criteria, the system dynamically evaluates feature enablement and engagement relative to cohort behavior and customer-selected outcomes. The resulting adoption measurements provide an objective, context-aware view of true adoption progress that remains accurate as products and customer usage mature over time by dynamically recalibrating milestone thresholds and cohort baselines from live peer telemetry distributions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Saad, Chady; Wolder, David; McMurdo, Bruce; Garg, Ravi; and Barnes, Tim, "SELF-CALIBRATING PRODUCT ADOPTION MEASUREMENT SYSTEM", Technical Disclosure Commons, (May 13, 2026)
https://www.tdcommons.org/dpubs_series/10091