LeadCenter · Multi-site CRM

Lead Management Systems

LeadCenter is a live internal platform that brings enquiries from multiple websites into one operational view for filtering, review and aggregate reporting.

Live systemMulti-site intakeOperational filtersAggregate reporting
My role
Developer / System Builder
Status
Live internal system · sanitized public proof
Sanitized LeadCenter dashboard showing multi-site lead-management metrics and operational filters.
Sanitized live interface showing aggregate KPIs and filtering architecture; private lead, source and user data are excluded.
1,559Aggregate leads in the verified dashboard snapshotCaptured August 2026
674Leads shown for the latest 30-day periodAggregate snapshot
Multi-siteWebsite-source operating model

Context

The system behind the screenshot.

LeadCenter sits behind multiple website enquiry paths and gives operations one place to review intake, filter activity and understand aggregate lead patterns.

The live interface contains private contacts, source domains, users and infrastructure details. Public proof therefore uses two tightly sanitized derivatives that retain the real product architecture without publishing those records.

Reality first

The problem

Leads arriving from many independent websites become difficult to review when source context, statuses, assignments and reporting are fragmented across separate tools.

Operations needs a central view that supports day-to-day filtering and reporting while keeping every underlying record private and accountable.

01

Constraints

  • Lead records contain names, phone numbers, emails and enquiry details
  • Source websites and campaign domains are operationally private
  • User, assignment and integration data cannot enter public proof
  • Multiple acquisition sources need consistent filtering and context
  • Aggregate reporting must remain useful without exposing individual records
  • The public portfolio cannot link to or identify the internal application host
02

My role

LeadCenter is a user-confirmed Rana Usman development project. The public evidence uses sanitized derivatives only; the live application, records and infrastructure remain private and unchanged.

  • Multi-site lead aggregation and operational dashboard development
  • Search, date, source, project, type, status and assignment filters
  • Status, assignment and sheet-sync visibility
  • Aggregate analytics and monthly reporting views
  • Bulk-action recovery and day-to-day operational safeguards

System architecture

From multiple websites to one operating view

LeadCenter aggregates website enquiries, keeps source and workflow context available internally, and provides filtering, assignment and reporting controls in one operational layer.

  1. 01Multiple websites
  2. 02Lead capture
  3. 03LeadCenter
  4. 04Filtering & assignment
  5. 05Reporting & operations

LeadCenter manages lead aggregation and operations. It is not presented as the separate future website-control platform described in the multi-site operations case study.

Implementation

What was built.

Feature groups are kept specific to the system instead of repeating a generic services list.

01

Intake

  • Multiple website sources
  • Lead and project context
  • Type and date fields
  • Sheet-sync visibility
02

Operations

  • Search
  • Source and project filters
  • Status filters
  • Agent and assignment views
03

Reporting

  • Daily lead trend
  • Monthly comparison
  • Advertising-attributed totals
  • Peak-hour view
04

Safeguards

  • Bulk-action history
  • Undo capability
  • Export controls
  • Operational review
Progressive disclosureTechnical details

Source continuity

The internal workflow retains source context so operations can filter and compare activity without visiting every source website independently.

Aggregate views before public proof

Monthly volumes, advertising-attributed totals and activity patterns can demonstrate reporting depth without exposing an individual lead.

Recovery as an operational feature

The observed Undo Center records bulk actions and supports recovery, adding a safeguard around high-impact CRM operations.

Privacy by publication boundary

Raw screens stay outside public assets. Only metadata-stripped crops that exclude records, sources, users and infrastructure are published.

Quality system

Testing is part of the build.

Checks focus on real failure modes, evidence boundaries and the public experience after deployment.

Filter coverage

Review the visible search, date, source, project, type, status, agent and sheet-sync controls against the verified interface.

Aggregate reporting

Compare headline totals with daily, monthly, advertising and peak-hour reporting panels in the captured evidence.

Operational recovery

Confirm bulk actions are recorded with a recoverable state in the observed Undo Center without publishing its private user fields.

Desktop privacy

Inspect every published derivative at full desktop resolution for contacts, domains, users, IDs, URLs and infrastructure details.

Mobile privacy

Verify responsive object crops cannot reveal pixels excluded from the sanitized source image.

Public-output scan

Search generated HTML, data and asset filenames for private application and source identifiers before deployment.

Problem → system

What changed in the operating model.

Problem

Enquiries reviewed across many independent websites

System response

One centralized multi-site operating view

Problem

Lead activity difficult to compare over time

System response

Aggregate daily, monthly, advertising and peak-hour reporting

Problem

Real proof risks exposing private records

System response

Sanitized real interface crops with raw screens kept outside public assets

Evidence-backed

Outcomes

A centralized multi-site lead operations system with search, filters, status controls, reporting and recovery safeguards.

  1. 01

    A live central operating view for enquiries from multiple websites

  2. 02

    Search and filters spanning date, source, project, lead type, status, assignment and sync state

  3. 03

    Aggregate reporting across daily activity, monthly comparisons, advertising leads and peak hours

  4. 04

    Action-recovery safeguards for bulk CRM operations

  5. 05

    Real public product proof without publishing private operational data

Honest reflection

Lessons carried forward.

01

At multi-site scale, lead source context is operational data, not only marketing attribution.

02

Aggregate views can prove reporting depth without turning private records into portfolio content.

03

Recovery controls matter when a system supports bulk actions on live operational data.

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