Platform Engineering (community)

Platform Engineering Teams Are Lying About Their Results | Weave Intelligence

The conversation between Sam and Michael, two platform‑engineering ambassadors, centers on how teams measure—or fail to measure—their impact. Their latest report reveals that while 40.8% of teams rely on DORA metrics and 31% cite time‑to‑market, a startling 29.6% admit they do not measure anything at all. The data also expose a self‑reporting bias: 24% of respondents say they don’t know whether metrics have improved since adopting platform engineering, creating a 5‑percentage‑point gap between claimed measurement and actual awareness. The authors link this gap to a lack of product‑mindset, noting that 25.4% of teams also reject treating the platform as a product, which correlates with the non‑measuring cohort. Examples illustrate the payoff of rigorous measurement. By tracking DORA throughput on build servers, one team reduced pipeline lead time from 20 minutes to 8 minutes—a 60% improvement—through controlled experiments. Conversely, relying on “vibes” such as smooth meetings can mask red‑flag metrics, prompting a call for triangulating qualitative feedback with quantitative data like IDE telemetry, ticket volumes, and PR merge rates. The takeaway for executives is clear: without objective metrics, platform teams struggle to justify budgets, secure stakeholder buy‑in, and align with broader business goals. Starting with simple data collection—often as basic as an Excel sheet—allows teams to establish a baseline, prioritize dimensions such as velocity, security, quality, people, and cost, and gradually adopt more sophisticated observability tools as capability matures.