{"repo":"AmirhosseinHonardoust/Decision-Safety","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Decision-Safety","clone":"git clone https://github.com/AmirhosseinHonardoust/Decision-Safety.git","description":"Long-form article introducing Decision Safety: a trust gate between dashboards and actions. Defines four pillars (coverage, freshness, stability, measurement risk), proposes a Decision Safety Score (0–100), shows common failure modes, and includes a copy-paste “Decision Safety Contract”+checklist to block unsafe decisions without hiding dashboards.","language":null,"stars":11,"topics":["ab-testing","analytics","analytics-engineering","best-practices","dashboards","data-analytics","data-engineering","data-observability","data-quality","data-validation"],"license":"MIT","category":"dashboards-admin","readme_excerpt":"Decision Safety The missing layer between dashboards and decisions A true story A team sees a dip in conversions. Not a small dip. A real dip. Big enough that people stop what they’re doing. Someone opens the KPI dashboard. The chart is clean. The line goes down. The alert is red. The comments start: - “We should pause the campaign.” - “This is a product regression.” - “Let’s roll back the release.” By noon, the team has reacted. Spend is paused. A feature flag is flipped. A post-mortem doc is already started. By evening, someone finds the real issue: A data pipeline change introduced an inner join that quietly dropped a segment. Conversions didn’t fall. Observation fell. No one lied. No one was incompetent. The dashboard was working as designed. The decision was not. The failure mode wasn’t “bad analytics”. The failure mode was unsafe analytics . --- The problem with analytics today Most teams treat analytics like reporting. - “Is the dashboard up?” - “Did the query run?” - “Do we have numbers?” But decisions are not reports. Decisions are interventions. They have cost. If your dashboard can be wrong in ways that look believable and you don’t measure that risk, then you don’t have analytics. You have a decision hazard . This is where Decision Safety comes in. --- What is Decision Safety? Decision Safety is the minimum trust threshold a metric must meet before it’s allowed to influence decisions. It answers a simple question: “If we act on this metric today, how likely is it ","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Decision-Safety/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}