The Problem: Changes That Look Small Can Break Everything

One of the most common challenges for Salesforce admins and architects is knowing what a change will break before making it. A single field deletion, flow adjustment, or object modification can trigger cascading failures across reports, integrations, CPQ rules, permissions, and data pipelines — and most teams rely on tribal knowledge rather than structural analysis to navigate this.

This guide walks you through how to use Elements to confidently assess the impact of any planned change, whether it's a small tweak or a full process redesign.

Step 1: Connect & Sync Your Salesforce Org

Before you can analyse anything, your Org metadata needs to be synced into Elements.

Feature: Salesforce Sync (Salesforce Connect)
Support: Connect and Sync a Salesforce Org

💡 Tip: The metadata dictionary is only as accurate as the latest sync. Always confirm sync status before analysing metadata.

Use Case 1: Making a Small Change or Building a Small Feature

When you've been asked to modify a field, update a flow, or make a targeted adjustment, follow this path:

1. Start with the Object Analysis Dashboard

Open the Object Analysis Dashboard in Analytics 360
Review the complexity, customisation, and automation tied to the object
Decide whether it's low complexity or high risk before touching anything
Drill down into specific slices to review individual automations

2. Assess Component-Level Impact with Dependency Tools

Open Dependency Trees for the specific field, flow, or validation rule you plan to change
Expand downstream relationships to see what depends on this component — and what it depends on
Document what else needs to change by linking or creating stories against metadata in the tree

3. Go Deeper with the Dependency Explorer Grid

When faced with a high volume of dependencies (e.g. hundreds of reports, list views, flows, or Apex classes), switch to the Dependency Explorer Grid to:

Filter automations that read or write to specific objects and fields
Identify only the reports that use a field as a filter and have been run recently
Separate genuine business impact from noise

4. Use Component Dependency Search for Legacy Code

For granular dependency assessment across Visualforce, Aura, or OmniStudio metadata, use Component Dependency Search to find where any field or component is referenced across the Org — by label, API name, or ID — all searched simultaneously and automatically.

Use Case 2: Redesigning an Entire Process

When the scope of change is larger — a full process redesign, a structural object change, or a data model overhaul — dependency analysis alone isn't enough. You need to understand the business context behind the configuration.

Use Process Configuration Mining

Generate process maps from configuration to understand how an object actually behaves in real business processes
Identify where the object participates in cross-object workflows, handoffs, and automations
Surface root causes of data quality issues rather than patching symptoms
Assess how a planned structural change would alter business processes and data integrity

This shifts the conversation from "what depends on this field?" to "what business capability will shift if we change this?"

What You'll Learn from This Analysis

Going through this process gives you a clear shift in understanding:

Where data comes from and where it goes across objects and fields
The difference between dependencies and genuine business impact — e.g. a field used in 356 reports, but only 2 of those use it as a filter and have been run recently
The true scale of impact before committing to a change
A clear blueprint of how a process actually works, not just how it was configured

What You Can Do Once You Know the Impact

Push back confidently on "could you just…" requests by showing stakeholders the real complexity and cost of their ask
Scope work accurately upfront and project effort and cost with confidence
Reduce rework and post-deployment fixes by accounting for what will break before you deploy
Reject or postpone changes that would destabilise core processes
Redesign at the source instead of layering more validation rules on top of existing problems