Ensuring Transaction Platform Quality through Acceptance Processes and Virtual City Implementation

1. Introduction

The second article in the Transaction Quality Operations series introduces two real‑world cases and explains, from an acceptance perspective, how technical and procedural standards are applied throughout the development lifecycle to deliver high‑quality projects.

2. Background

Case 1: A Chongqing user reported a blank agreement view due to a missed city activation during a mass rollout, exposing a verification gap.

Case 2: After Dalian’s capital‑security feature launch, manual online verification using real agents proved time‑consuming and error‑prone, highlighting the need for a more efficient online acceptance method.

3. Transaction End‑to‑End Assurance System

The platform’s development flow mirrors generic processes but adds stricter demand/technical reviews, code reviews, and project acceptance checkpoints, with a focus on the acceptance stage.

3.1 Why Emphasize Acceptance?

Complex transaction scenarios involve many roles and long functional chains, making bugs harder to detect and more costly to fix; timely acceptance mitigates these risks.

3.2 Three‑Stage Acceptance

Pre‑test: Showcase serves as a pre‑test acceptance based on case review grades; PM/QA must approve before proceeding.

Pre‑release: Includes UI walkthrough and functional acceptance in a stable test or pre‑production environment.

Post‑release: Online acceptance validates the release in the real environment, enabling rapid issue detection.

3.3 Technical Approach: Virtual City for Online Acceptance

To simulate real transaction flows, a “virtual city” mechanism was built, allowing configuration copying and deletion, and enabling core system operations such as transaction deletion without affecting production data.

Analysis showed most defects were unrelated to city‑specific configurations, so a standardized virtual city based on MVP principles sufficed for online verification.

3.4 Process Governance: Operating Acceptance Rate

Key metrics (online acceptance rate) are treated as operational indicators; clear role‑based responsibilities (PM, RD/FE, QA) are defined, and acceptance data is visualized on dashboards (Keones → BI → Process Quality).

Iterative improvements include:

Iteration 1: Formalized workflow and displayed overall acceptance rate.

Iteration 2: Exported detailed data for Excel analysis and public display.

Iteration 3: Automated real‑time dashboards via Grafana.

Iteration 4: Integrated acceptance rate into the overall transaction quality score.

These steps raised the overall acceptance rate above 95% and eliminated incidents caused by untimely acceptance.

4. Summary

The article demonstrates how acceptance‑centric practices—virtual‑city‑enabled online verification and continuous operation of acceptance metrics—ensure end‑to‑end quality for transaction platforms, while acknowledging ongoing needs for finer‑grained indicators such as acceptance latency.