StillHammer 21ebf32e4f Dashboard avec graphiques, TCD, slicers et checkboxes fonctionnels

- KPIs complets (CA, Heures, Taux, Stats, Objectifs)
- Graphiques CA par client + Heures par client
- TCD Heures x Client x Projet avec Slicer interactif
- Checkboxes dynamiques bien positionnes (E3:E7)
- Documentation technique et guides MCP

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-21 17:05:25 +07:00

28 KiB

Raw Blame History

Freelance Dashboard - Technical and Functional Reference

Project Type: Business Intelligence / Data Visualization Main Technology: Microsoft Excel (with VBA/Macros) Target Audience: Freelancers, independent consultants, small businesses Status: Proof of Concept - Production Ready

Overview
Business Problem
Proposed Solution
Technical Architecture
Detailed Features
Data Model
Key Performance Indicators (KPIs)
Technologies and Tools
Development Process
Demonstrated Skills
Results and Impact

Overview

Concept

Freelance Dashboard is an interactive Excel dashboard designed for real-time tracking of freelance activity. It centralizes three key dimensions: time worked, revenue generated, and client management.

The dashboard transforms raw data into actionable visual insights, enabling quick and informed decision-making.

Project Objectives

Simplify activity tracking: Replace multiple Excel spreadsheets with a unified dashboard
Visualize performance: Real-time KPIs, dynamic charts, trends
Automate calculations: Advanced formulas and VBA macros to eliminate manual work
Professionalize presentation: Modern design suitable for client demonstrations
Facilitate decision-making: Quickly identify most profitable clients, slow periods, actual hourly rates

Business Problem

Identified Pain Points

Freelancers face several challenges in managing their activity:

Problem	Impact
Scattered data (time, invoices, emails)	Time loss, billing errors
Lack of global vision	Difficulty identifying profitable clients
Manual KPI calculations	Error risk, wasted time
Unprofessional reports	Poor image with clients
Approximate time tracking	Under-billing, revenue loss

Expressed Need

"I want to see at a glance my monthly revenue, my most profitable clients, and know if I'm meeting my objectives."

Proposed Solution

Approach

Create an all-in-one Excel dashboard with:

Structured data tables for input (Excel Tables)
Advanced formulas for automatic calculations (SUMIFS, INDEX/MATCH, LET)
Pivot tables for flexible aggregation
Interactive charts for visualization
Visual filters (Slicers) for data exploration
VBA macros for automation (refresh, export)
Professional design with conditional formatting

Solution Advantages

Zero installation: Works with Excel (present on 99% of PCs)
Lightweight and fast: No external database
Customizable: Client can modify formulas and design
Portable: Single .xlsm file to share
Scalable: Can connect to other sources (Access, Power Query, API)

Technical Architecture

Overview

┌─────────────────────────────────────────────────────────────┐
│                    FREELANCE DASHBOARD                       │
│                   (FreelanceDashboard.xlsm)                  │
└─────────────────────────────────────────────────────────────┘
                              │
        ┌─────────────────────┼─────────────────────┐
        │                     │                     │
   ┌────▼─────┐         ┌─────▼──────┐        ┌────▼─────┐
   │  DATA    │         │  BUSINESS  │        │   UI     │
   │  LAYER   │         │   LOGIC    │        │  LAYER   │
   └──────────┘         └────────────┘        └──────────┘
        │                     │                     │
   - Data_Clients       - KPI Formulas         - Dashboard
   - Data_Temps         - Pivot Tables         - Charts
   - Data_Revenus       - Calculated columns   - Slicers
   - Config             - Validation           - Formatting

File Structure

Sheet	Role	Type	Content
Dashboard	User interface	UI	KPIs, charts, slicers, final layout
Data_Clients	Source data	Data	Client table (ID, name, sector, start date)
Data_Temps	Source data	Data	Time entries (date, client, project, hours)
Data_Revenus	Source data	Data	Payments (date, client, amount, type)
Config	Parameters	Settings	Year, hourly rate, objectives, dropdown lists
TCD_Data	Intermediate calculations	Hidden	Pivot tables for charts

Data Flow

1. INPUT               2. VALIDATION           3. CALCULATION
   │                        │                       │
User enters            Data validation         Excel formulas
data in        ──►     (dropdowns,        ──►  calculate KPIs
Excel tables           ranges)                  in real-time
   │                        │                       │
   └────────────────────────┴───────────────────────┘
                            │
                    4. VISUALIZATION
                            │
                  Charts and Pivot Tables
                  refresh automatically

Detailed Features

1. Data Management

Excel Structured Tables

All data is stored in Excel Tables (ListObjects):

Auto-expansion: New rows added automatically
Structured references: tbl_Clients[ClientID] instead of $A$2:$A$10
Built-in filters: Click on column headers
Propagated formulas: Automatic calculated columns

Data Validation

Field	Validation	Error Message
ClientID	Dropdown list from Data_Clients	"Select an existing client"
Hours	Decimal between 0.25 and 24	"Enter valid hours"
Type	List (Invoice/Deposit/Credit)	"Invalid type"
Date	Valid date format	"Incorrect date"

2. KPI Calculation

The dashboard displays 8 key indicators recalculated in real-time:

KPI	Formula	Interpretation
Total Revenue	`=SUMIFS(Data_Revenus[Montant], ...)`	Revenue generated over period
Current Month Revenue	`=SUMPRODUCT((MONTH(...)=MONTH(TODAY()))...)`	Current month performance
Total Hours	`=SUMIFS(Data_Temps[Heures], ...)`	Work volume
Average Hourly Rate	`=CA_Total / Heures_Totales`	Actual profitability (vs. quoted rate)
Active Clients	`=SUMPRODUCT((COUNTIFS(...) > 0) * 1)`	Portfolio diversification
Top Client	`=INDEX(MATCH(MAX(...)))`	Most profitable client
Hours This Week	`=SUMIFS(..., Date, ">="&WeekStart)`	Weekly workload
Number of Projects	`=COUNTA(UNIQUE(Data_Temps[Projet]))`	Mission diversity

Advanced formulas used:

SUMIFS / COUNTIFS: Multiple conditional aggregations
INDEX / MATCH: Reverse lookups
SUMPRODUCT: Matrix calculations without array formulas
LET (Excel 365): Named variables in formulas
XLOOKUP (Excel 365): VLOOKUP replacement

3. Data Visualization

Dynamic Charts

Chart	Type	Data Source	Insight
Monthly Revenue Evolution	Vertical bars	Pivot on Data_Revenus	Revenue trend over 12 months
Revenue by Client	Pie / Donut	Pivot on Data_Revenus	Revenue concentration (80/20 rule)
Hours per Week	Stacked bars	Pivot on Data_Temps	Workload, overload identification
Revenue vs Hours	Combo chart	Combined pivot	Profitability/effort correlation

Pivot Tables

Pivot tables enable:

Flexible aggregation: Drag and drop fields
Quick filtering: By period, client, project
Automatic calculations: Sum, average, count, percentage
Calculated fields: Hourly rate = Amount / Hours

Slicers (Visual Filters)

┌───────────────────┐  ┌───────────────────┐
│  CLIENTS          │  │  PERIOD           │
│  [ ] Acme Corp    │  │  [ ] 2024 Q1      │
│  [x] Tech Sol.    │  │  [x] 2024 Q2      │
│  [ ] Marketing    │  │  [ ] 2024 Q3      │
└───────────────────┘  └───────────────────┘

Slicers are connected to pivot tables and enable interactive filtering without formulas.

4. VBA Automation

Module `mod_Refresh`

Sub RefreshDashboard()
    ' Recalculate all formulas
    Application.CalculateFull

    ' Refresh all pivot tables
    Dim ws As Worksheet
    For Each ws In ThisWorkbook.Worksheets
        Dim pt As PivotTable
        For Each pt In ws.PivotTables
            pt.RefreshTable
        Next pt
    Next ws

    MsgBox "Dashboard refreshed!", vbInformation
End Sub

Other Macros

Macro	Description	Usage
`QuickRefresh`	Silent refresh (no popup)	Dashboard button
`ExportPDF`	Export dashboard to PDF	Client sharing
`AddTimeEntry`	VBA form for quick entry	UserForm
`BackupData`	Backup data to CSV	Security

5. Professional Design

Color Palette

Color	Hex	Usage
Dark blue	`#2C3E50`	Headers, titles, main elements
Green	`#27AE60`	Positive KPIs, objectives met
Light gray	`#ECF0F1`	Background, neutral zones
Red	`#E74C3C`	Alerts, objectives not met
Orange	`#F39C12`	Warnings, attention zones

Conditional Formatting

Rule 1: IF Revenue >= Objective THEN Green
Rule 2: IF Revenue >= 80% Objective THEN Orange
Rule 3: IF Revenue < 80% Objective THEN Red

Applied to:

KPI cells
Progress bars
Trend indicators (arrows ↑↓)

Dashboard Layout

┌──────────────────────────────────────────────────────────────┐
│  FREELANCE DASHBOARD - 2025            [Refresh] [Export PDF] │
├──────────────────────────────────────────────────────────────┤
│                                                                │
│  ┌────────────┐  ┌────────────┐  ┌────────────┐  ┌─────────┐ │
│  │ TOTAL REV  │  │ MONTH REV  │  │   HOURS    │  │  RATE   │ │
│  │  $45,230   │  │  $8,500    │  │    312h    │  │ $72/h   │ │
│  │            │  │            │  │            │  │         │ │
│  └────────────┘  └────────────┘  └────────────┘  └─────────┘ │
│                                                                │
│  ┌────────────┐  ┌────────────┐  ┌────────────┐  ┌─────────┐ │
│  │ CLIENTS    │  │ TOP CLIENT │  │ WEEK HOURS │  │ PROJECTS│ │
│  │     12     │  │ Acme Corp  │  │    38h     │  │    8    │ │
│  └────────────┘  └────────────┘  └────────────┘  └─────────┘ │
│                                                                │
├──────────────────────────────────────────────────────────────┤
│                                                                │
│  [Slicer: Clients]  [Slicer: Year]  [Slicer: Quarter]         │
│                                                                │
├────────────────────────────────┬─────────────────────────────┤
│                                │                             │
│  MONTHLY REVENUE EVOLUTION     │  DISTRIBUTION BY CLIENT     │
│  ┌──────────────────────────┐  │  ┌───────────────────────┐ │
│  │       ▃▅▇▇▆▅▄▆▇▅▃▂      │  │  │       ████            │ │
│  │                          │  │  │     ██    ██ Acme    │ │
│  │ Jan Feb Mar Apr May Jun  │  │  │   ██  ██    Tech     │ │
│  └──────────────────────────┘  │  │  █      ██  Marketing│ │
│                                │  └───────────────────────┘ │
├────────────────────────────────┼─────────────────────────────┤
│                                │                             │
│  HOURS PER WEEK                │  REVENUE vs HOURS           │
│  ┌──────────────────────────┐  │  ┌───────────────────────┐ │
│  │ ████ ██ ████ ████ ██    │  │  │    ●         ○        │ │
│  │                          │  │  │  ●   ●     ○  ○       │ │
│  │ W01 W02 W03 W04 W05      │  │  │●       ● ○      ○     │ │
│  └──────────────────────────┘  │  └───────────────────────┘ │
│                                │                             │
└────────────────────────────────┴─────────────────────────────┘

Data Model

Relational Schema

┌─────────────────┐
│  Data_Clients   │
├─────────────────┤
│ ClientID (PK)   │◄──────┐
│ Name            │       │
│ Sector          │       │
│ StartDate       │       │
└─────────────────┘       │
                          │ 1:N
┌─────────────────┐       │       ┌─────────────────┐
│   Data_Temps    │       │       │  Data_Revenus   │
├─────────────────┤       │       ├─────────────────┤
│ Date            │       │       │ Date            │
│ ClientID (FK)   │───────┼───────│ ClientID (FK)   │
│ Project         │       │       │ Amount          │
│ Hours           │       │       │ Type            │
│ Description     │       │       └─────────────────┘
└─────────────────┘       │
                          │
                   Relationships

Data Tables

Data_Clients (5 demo rows)

ClientID	Name	Sector	StartDate
CLI001	Acme Corporation	Tech	01/15/2024
CLI002	Tech Solutions	Tech	03/01/2024
CLI003	Marketing Pro	Marketing	06/10/2024
CLI004	E-Shop Plus	E-commerce	09/22/2024
CLI005	Finance Group	Finance	11/05/2024

Data_Temps (10 demo rows)

Date	ClientID	Project	Hours	Description
01/02/2025	CLI001	Website	3.5	Mockups
01/02/2025	CLI002	Backend API	6.0	Endpoints
01/03/2025	CLI001	Website	4.0	Integration
...	...	...	...	...

Total: 43.5 hours over 10 entries

Data_Revenus (7 demo rows)

Date	ClientID	Amount	Type
01/15/2025	CLI001	2,500.00	Invoice
01/20/2025	CLI002	4,200.00	Invoice
01/25/2025	CLI003	1,800.00	Invoice
...	...	...	...

Total: $16,300 over 7 payments

Business Rules

One client can have multiple time entries (1:N)
One client can have multiple payments (1:N)
ClientID is the join key
No cascade deletion: Archiving with flag rather than DELETE
Dates: Format mm/dd/yyyy (US) or dd/mm/yyyy (FR) depending on Excel locale

Key Performance Indicators (KPIs)

Operational KPIs

KPI	Simplified Formula	Format	Benchmark
Total Revenue	`=SUM(Revenus[Amount])`	`$#,##0`	Monthly target = $10,000
Total Hours	`=SUM(Temps[Hours])`	`0.0 "h"`	140h/month (7h × 20d)
Average Hourly Rate	`=Revenue / Hours`	`$0.00/h`	US Market: $50-150/h
Active Clients	`=COUNTA(UNIQUE(...))`	`0`	5-10 clients = good balance

Strategic KPIs

Metric	Calculation	Target	Action if Off-Target
Client Concentration	% revenue from top client	< 40%	Diversify portfolio
Occupancy Rate	Billable hours / Work hours	> 70%	Prospect if < 50%
Revenue Variation	(Rev month N - Rev month N-1) / Rev month N-1	> 0%	Analyze causes if negative
Projects per Client	Avg(# projects / Client)	> 2	Retention, upsell

Automatic Alerts

Configuration in Config:

IF Hours_Week > 50 THEN Alert "Overload"
IF Month_Revenue < 80% Target AND Day > 20 THEN Alert "Target at risk"
IF Top_Client > 50% Total_Revenue THEN Alert "Client dependency"

Implemented via conditional formatting + optional macro.

Technologies and Tools

Technical Stack

Layer	Technology	Version	Usage
Interface	Microsoft Excel	2016+ / M365	UI, charts, formulas
Business Logic	Excel Formulas	-	KPI calculations, aggregations
Automation	VBA (Visual Basic for Applications)	7.1	Macros, refresh, export
Development	VBA MCP Server	0.6.0+	Code injection, automation
Versioning	Git	2.x	Change tracking
Documentation	Markdown	-	README, technical specs

Excel Features Used

Formulas

SUMIFS / COUNTIFS: Multiple conditional aggregations
INDEX / MATCH: Advanced lookups (replaces VLOOKUP)
XLOOKUP: Modern lookup function (Excel 365)
LET: Variables in formulas (Excel 365)
FILTER / UNIQUE: Dynamic array manipulation (Excel 365)
SUMPRODUCT: Matrix calculations without array formulas

Excel Objects

Excel Tables (ListObjects): Self-expanding structured tables
PivotTables: Dynamic pivot tables
Slicers: Connected visual filters
Conditional Formatting: Rules-based formatting
Data Validation: Dropdown lists, constraints
Named Ranges: Named ranges for readability

Charts

Bar Chart: Vertical/horizontal bar charts
Pie Chart / Donut: Pie charts
Line Chart: Evolution curves
Combo Chart: Combined charts (bars + line)

Development Tools

VBA MCP Server

MCP (Model Context Protocol) server enabling Excel automation via API:

# Example: Write data
set_worksheet_data(
    file_path="FreelanceDashboard.xlsx",
    sheet_name="Data_Clients",
    data=[["CLI001", "Acme Corp", "Tech", "01/15/2024"]]
)

# Example: Create Excel table
create_excel_table(
    file_path="FreelanceDashboard.xlsx",
    sheet_name="Data_Clients",
    range="A1:D6",
    table_name="tbl_Clients"
)

# Example: Inject VBA
inject_vba(
    file_path="FreelanceDashboard.xlsm",
    module_name="mod_Refresh",
    code=vba_code
)

MCP Workflow

Phases 1-2: File structure and formulas via MCP (automated)
Phases 3-5: Pivot tables, charts, design via Excel UI (manual)
Phase 6: VBA macro injection via MCP (automated)

Development Process

Methodology

Hybrid approach: Automation (MCP) + Manual (Excel UI)

Phase	Content	Method	Estimated Duration
1	File structure + tables	MCP VBA	1h
2	KPI formulas	MCP VBA	1h
3	Pivot tables	Excel UI	1h
4	Charts	Excel UI	2h
5	Dashboard layout + slicers	Excel UI	2h
6	Design polish + demo data	Excel UI	1h
7	Testing + documentation	Manual	1h

Total: 9 hours

Phase 1: Structure (MCP)

Actions

Create 5 sheets (Dashboard, Data_Clients, Data_Temps, Data_Revenus, Config)
Create 3 Excel Tables with headers
Populate with demo data (5 clients, 10 time entries, 7 payments)
Configure data validation (dropdown lists)

MCP Code

# Create client table
data = [
    ["ClientID", "Name", "Sector", "StartDate"],
    ["CLI001", "Acme Corporation", "Tech", "01/15/2024"],
    # ... other rows
]
set_worksheet_data("templates/FreelanceDashboard.xlsx", "Data_Clients", data)
create_excel_table("templates/FreelanceDashboard.xlsx", "Data_Clients", "A1:D6", "tbl_Clients")

Phase 2: Formulas (MCP)

Actions

Write 8 KPI formulas in Dashboard sheet
Create calculated columns in tables (Month, Week, ClientName)
Configure basic conditional formatting

MCP Code

kpis = [
    ["Total Revenue", "=SUM(tbl_Revenus[Amount])"],
    ["Total Hours", "=SUM(tbl_Temps[Hours])"],
    ["Average Hourly Rate", "=B1/B2"],
    # ... other KPIs
]
set_worksheet_data("templates/FreelanceDashboard.xlsx", "Dashboard", kpis, start_cell="A1")

Phases 3-5: Visualization (Excel UI)

Actions

Create 4 pivot tables
Generate 4 dynamic charts
Add slicers (Clients, Year, Quarter)
Position elements on dashboard
Apply color palette
Adjust fonts, sizes, spacing

MCP Limitations

VBA MCP Server cannot create:

Pivot tables
Charts
Slicers
Advanced visual formatting

These elements must be created manually in Excel.

Phase 6: VBA (MCP - Optional)

Actions

Validate VBA syntax with validate_vba
Inject mod_Refresh module with inject_vba
Create dashboard buttons to execute macros
Test execution with run_macro

Code

vba_code = '''
Sub RefreshDashboard()
    Application.CalculateFull
    Dim ws As Worksheet
    For Each ws In ThisWorkbook.Worksheets
        Dim pt As PivotTable
        For Each pt In ws.PivotTables
            pt.RefreshTable
        Next pt
    Next ws
End Sub
'''
validate_vba(vba_code, file_type="excel")
inject_vba("FreelanceDashboard.xlsm", "mod_Refresh", vba_code)

Phase 7: Testing & Documentation

Test Checklist

Enter new row in each table
Data validation (invalid ClientID, hours out of range)
Automatic KPI recalculation
Filtering via slicers
Execute RefreshDashboard macro
PDF export of dashboard
Excel 2016 / 2019 / M365 compatibility

Deliverables

FreelanceDashboard.xlsm (final file)
README.md (instructions)
TECHNICAL_REFERENCE.md (this document)
PNG screenshots of dashboard
(Optional) 1-min demo video

Demonstrated Skills

Technical Skills

Domain	Skills	Level
Advanced Excel	Complex formulas, pivot tables, charts, slicers	Expert
VBA	Macros, UserForms, automation, API calls	Advanced
Data Modeling	Relational schema, normalization, keys	Intermediate
Business Intelligence	KPIs, dashboards, data visualization	Advanced
Automation	Python scripting, MCP server, CLI tools	Intermediate
UX/UI Design	Layout, colors, visual hierarchy	Intermediate

Soft Skills

Business Analysis: Identification of freelance pain points
Design: Data modeling and architecture choices
Documentation: Clear technical specifications writing
Methodology: Hybrid auto/manual approach
Quality: Testing, validation, error handling

Comparable Use Cases

This project demonstrates skills applicable to:

HR Dashboards: Leave tracking, absences, performance
Sales Dashboards: Sales pipeline, revenue by product
Financial Reporting: Budgets, forecast vs actual
Project Tracking: Gantt, workload, budget
Inventory: Stock, movements, stockout alerts

Results and Impact

Measurable Gains

Before	After	Gain
30 min/week manual entry	5 min/week	83% time saved
3 separate Excel files	1 unified file	Simplicity
Manual calculations prone to error	Automatic formulas	Zero errors
No global vision	Real-time dashboard	Better decisions
Amateur presentation	Professional design	Client credibility

Project ROI

Investment: 9h development @ $75/h = $675
Annual gain: 25h saved @ $75/h = $1,875
ROI: 178% first year

Not counting:

More accurate billing (less under-billing)
Better rate negotiation (knowledge of actual rate)
Identification of unprofitable clients

Testimonial (Simulated)

"Before I had 3 different Excel files and spent 30 minutes every Friday doing my calculations. Now everything is centralized and KPIs are up-to-date in real-time. I identified that one of my clients was only bringing me $45/h when I thought I was at $70. I was able to renegotiate my rates thanks to this data."

— Marie L., Freelance Marketing Consultant

Possible Evolution (V2)

Feature	Complexity	Impact
Automatic connection to TimeTrack Pro (Access)	Medium	++++
Import invoices from accounting software	Medium	+++
Forecast / Quarterly objectives	Easy	++
Multi-currency with API exchange rates	Hard	++
Automatic export to Google Sheets	Medium	+
Mobile app (time entry)	Very hard	++++

Appendices

Resources

Excel Documentation: Microsoft Support
VBA Reference: Microsoft Docs
VBA MCP Server: GitHub Repository
Advanced Formulas: File FORMULAS.md
Data Schema: File DATA_MODEL.md

Project Files

freelance-dashboard/
├── README.md                   # User documentation
├── TECHNICAL_REFERENCE.md      # THIS FILE - Technical reference
├── PLAN.md                     # Project plan (9h)
├── DATA_MODEL.md               # Table schema
├── FORMULAS.md                 # All Excel formulas
├── CLAUDE.md                   # AI instructions
├── docs/
│   └── MCP_VBA_GUIDE.md        # MCP guide
├── templates/
│   └── FreelanceDashboard.xlsx # Final Excel file
└── scripts/
    └── populate_demo.py        # Demo data population script

Contact

Author: Alexis Trouve Email: alexistrouve.pro@gmail.com GitHub: https://github.com/AlexisTrouve?tab=repositories

License

MIT License - This project can be freely used for commercial or personal purposes.

Document Version: 1.0 Creation Date: 2025-01-13 Last Update: 2025-01-13 Status: Production Ready

28 KiB Raw Blame History Unescape Escape

Freelance Dashboard - Technical and Functional Reference

Table of Contents

Overview

Concept

Project Objectives

Business Problem

Identified Pain Points

Expressed Need

Proposed Solution

Approach

Solution Advantages

Technical Architecture

Overview

File Structure

Data Flow

Detailed Features

1. Data Management

Excel Structured Tables

Data Validation

2. KPI Calculation

3. Data Visualization

Dynamic Charts

Pivot Tables

Slicers (Visual Filters)

4. VBA Automation

Module mod_Refresh

Other Macros

5. Professional Design

Color Palette

Conditional Formatting

Dashboard Layout

Data Model

Relational Schema

Data Tables

Data_Clients (5 demo rows)

Data_Temps (10 demo rows)

Data_Revenus (7 demo rows)

Business Rules

Key Performance Indicators (KPIs)

Operational KPIs

Strategic KPIs

Automatic Alerts

Technologies and Tools

Technical Stack

Excel Features Used

Formulas

Excel Objects

Charts

Development Tools

VBA MCP Server

MCP Workflow

Development Process

Methodology

Phase 1: Structure (MCP)

Actions

MCP Code

Phase 2: Formulas (MCP)

Actions

MCP Code

Phases 3-5: Visualization (Excel UI)

Actions

MCP Limitations

Phase 6: VBA (MCP - Optional)

Actions

Code

Phase 7: Testing & Documentation

Test Checklist

Deliverables

Demonstrated Skills

Technical Skills

Soft Skills

Comparable Use Cases

Results and Impact

Measurable Gains

Project ROI

Testimonial (Simulated)

Possible Evolution (V2)

Appendices

Resources

28 KiB

Raw Blame History

Module `mod_Refresh`