CTO Dashboard

A comprehensive project monitoring dashboard that presents real-time data across multiple dimensions such as progress/resources/risks/quality, enabling technology decision-makers to instantly assess project health, identify critical bottlenecks, optimize resource allocation, and drive a 35%+ improvement in R&D efficiency.

I. Global Status Overview

1. Multi-Dimensional Filtering System

Filter Area → Interactive Dropdowns

• Organization Filter: Three-level drill-down (department/team/individual), defaults to tenant-wide project data when unselected
• View Toggle: One-click switch between "Tasks" and "Testing" views
• Smart Context: Auto-sync with current iteration timeframe (e.g., 2024-09-16 to 2024-10-08)

2. Core Metrics Summary

Module	Metric	Real-Time Value	Health Status
Tasks	Overall Progress	30.38%	⚠️ Lagging
	Total Tasks	79	Normal
	Overdue Rate	74.68%	🔴 High Risk
Testing	Case Pass Rate	68.5%	⚠️ Critical
	Defect Density	15.8/KLOC	🔴 Exceeded
	Test Coverage	65%	⚠️ Insufficient

II. In-Depth Data Analysis Modules

1. Task Efficiency Analysis

Backlog Dashboard

Metric	Task Dimension	Test Dimension
Total Backlog	55 Tasks	1,875 Cases
Unplanned Ratio	12%	8%
Daily Processing Capacity	3.2 Tasks	48 Cases

Delivery Efficiency Tracking

Period	Task Completion Rate	Case Execution Rate
Today	0%	7%
Past Week	24%	45%
Past Month	30%	68%

2. Testing Efficiency Analysis

Quality Risk Radar

Evaluation Dimension	Current Project Value	Healthy Baseline	Delta	Status Assessment
Coverage	65%	80%	-15%	⚠️ Insufficient
Pass Rate	68%	85%	-17%	⚠️ Below Standard
Defect Density	15.8	5	+10.8	🔴 Severely Exceeded
Automation Rate	40%	70%	-30%	🔴 High Risk
Execution Efficiency	55	75	-20	⚠️ Below Standard

Defect Distribution Matrix

Severity	Count	Avg. Fix Time	Related Tasks
Critical	12	8.2 hrs	Payment Module
Major	31	16 hrs	Order System
Minor	64	24 hrs	Common Features

III. Resource Structure Analysis

1. Task Resource Distribution

Type	Ratio	Team Load
Feature Development	35%	8.2h/person/day
Bug Fixing	28%	6.5h/person/day
Technical Optimization	15%	2.3h/person/day
Testing Tasks	22%	3.0h/person/day

2. Testing Asset Distribution

Asset Type	Count	Activity Rate
API Cases	1,875	85%
Scenario Cases	254	75%
Automation Scripts	51	68%
Mock Services	7	92%

IV. Core Efficiency Metrics

1. Team Capability Matrix

Capability Dimension	Dev Team	Test Team	Δ Value
Delivery Efficiency	0.8 tasks/person/day	12 cases/person/day	+25%
First-Time Pass Rate	75%	68%	-7%
Defect Detection	22 defects/KLOC	15.8 defects/KLOC	-28%
Knowledge Retention	2.1 docs/person	1.4 docs/person	-33%

2. Quality Health Baseline

Dimension	Current Value	Healthy Baseline	Gap	Risk Level
Code Quality	70%	85%	-15%	⚠️ Medium Risk
Test Coverage	65%	80%	-15%	⚠️ Medium Risk
Defect Density	15.8	5	+10.8	🔴 High Risk
Automation Rate	40%	70%	-30%	🟠 High Risk

V. Intelligent Decision Engine

1. Bottleneck Identification System

2. Optimization Decision Matrix

Problem Area	Task-Side Actions	Test-Side Actions	Expected Benefit
Payment Module Delay	1. Split complex tasks 2. Daily code reviews	1. Prioritize core path testing 2. Streamline acceptance	40% faster delivery
High Defect Density	1. Strengthen unit testing 2. Adopt AI-assisted coding	1. Enhance static scanning 2. Build defect prediction model	60% defect reduction
Low Automation Rate	1. Provide test interface specs	1. Script generation tools 2. Record-playback system	30% automation boost

3. Risk Alert Dashboard

Risk Type	Task Dimension	Test Dimension	Joint Solution
Schedule Risk	>70% overdue rate	>15% blocked cases	Cross-team standups
Quality Risk	>40% defect recurrence	<50% automation rate	Red/Blue quality drills
Resource Risk	>7h/person/day load	>60 cases/person	Dynamic elastic allocation