How B‑Metric Simplifies Enterprise Product Experience Measurement

01 Introduction: Why Measure Enterprise Product Experience

Enterprise products are becoming a hot focus for major internet companies, with B‑to‑C experience trends emerging. Various stakeholders—product managers, designers, executives, and procurement teams—need to evaluate product usage experience to guide optimization, prove design value, assess ROI, and choose the best solutions.

02 Research Approach: Four Key Areas

We reviewed international standards (ISO/IEC 25010), Chinese standards (GB/T 29831‑2013, GB/T 29832‑2013, GB/T 29836‑2013), and foreign models (PULSE, HEART, GSM). We also examined domestic models such as Alipay PTECH and Alibaba Cloud UES, noting their strengths and limitations for enterprise contexts.

We analyzed dozens of enterprise products across HR, finance, collaboration, ERP, marketing, sales, digital middle‑platform, data intelligence, and procurement, clustering them into management‑type, tool‑type, and marketing‑type.

03 B‑Metric: A Minimalist Guide

The B‑Metric indicator system consists of three parts: basic experience (system security and reliability), role experience (clarity, ease‑of‑use, collaboration, effectiveness across eight sub‑indicators), and enterprise value (scale, efficiency, benefit, management value). Weighting mechanisms for indicators and roles allow flexible adaptation to different product types and lifecycles.

We provide low‑cost measurement methods: expert walkthrough checklists for basic experience, standardized questionnaires for role experience, and customizable business‑value metrics.

04 Case Study: Rank‑Review System

The B‑Metric model was applied to a internally developed rank‑review system, covering weight determination, basic experience assessment via expert scoring, role experience via tailored questionnaires, and enterprise value evaluation. Results highlighted low scores in system flexibility, security, and fault tolerance, and identified role‑specific pain points.

05 Future Work

Future efforts will validate the indicator system across more product types, offer multiple measurement methods per indicator, refine assessment tools, create pre‑defined weight models for different business scenarios, implement continuous automated monitoring, and link measurement outcomes to concrete improvement actions.