A Dynamic Dashboard is a specific type of dashboard where the data displayed changes based on which user is currently viewing it. By setting the " View Dashboard As " property to " The logged-in user, " the dashboard components will respect each individual user ' s sharing settings, role hierarchy, and record ownership. For example, if a sales rep views a dynamic dashboard, they might only see their own $100k pipeline, while their manager viewing the same dashboard would see the team ' s combined $1M pipeline.
This eliminates the need for an administrator to create and maintain dozens of identical dashboards for different individuals. Dashboard Filters (Option A) allow users to narrow down data but do not change the fundamental " running user " security context. Setting the dashboard to run as " Me " (the admin) or " Another person " (Options C and D) creates a static view where everyone sees the same data, which is the opposite of providing an individualized view.

In Salesforce, a dashboard's running user determines which data is displayed to anyone viewing the dashboard. If a dashboard is configured with a " Static " running user (e.g., a Support Manager who has " View All " permissions), every user who views that dashboard will see the manager ' s level of data, regardless of their own personal sharing permissions. This bypasses the Organization-Wide Default (OWD) of
" Private " for the Case object. When the support manager observes that reps can see all cases on a group dashboard, it is almost certainly because the dashboard is " running " as a user with high-level access. To correct this and ensure users only see data they are entitled to, the Platform Administrator should convert it into a Dynamic Dashboard. A dynamic dashboard is set to " Run as the logged-in user, " meaning the data reflected in the components will automatically filter based on the individual viewer ' s specific sharing rules and record ownership. This ensures that the dashboard remains a useful tool for the team while strictly adhering to the company ' s data privacy and security requirements.

In the Lightning App Builder, Component Visibility Filters allow an administrator to show or hide parts of a record page based on specific criteria, such as the user's profile, a field value, or the record type. This is the best way to make pages "dynamic." For example, the administrator can configure a "Financial Details" component to only appear when the user viewing the case has the "Finance User" profile, or hide a "Recall Instructions" component unless the "Case Reason" is set to "Product Defect." This prevents "information overload" by ensuring that users only see the tools and data relevant to their specific role or the current state of the record. Simply deleting components (Option D) or removing fields (Option C) would affect all users equally, failing to provide role-specific utility. Component visibility creates a personalized, streamlined experience that improves user productivity and reduces clutter on complex record pages.

A Validation Rule is the correct tool for enforcing conditional data entry requirements. When a business rule dictates that a field (Lead Source) must be populated only when another field (Stage) reaches a specific value (Closed Won), a validation rule can evaluate this logic every time a record is saved. The formula would check if the Stage is " Closed Won " and simultaneously check if the Lead Source field is blank. If both conditions are true, the system displays an error message and prevents the user from saving the record. This ensures
100% data compliance. Dependent picklists (Options A and D) are used to filter available options in one list based on the selection of another, but they cannot " require " a value to be present based on a stage change in the same way a validation rule can. Making the stage " Read Only " (Option B) would prevent users from ever winning a deal. Validation rules are the standard method for maintaining data quality during critical transitions in the sales lifecycle.

When a single picklist field needs to show different values to different users or for different business contexts, Record Types are the configuration point. While the master list of all possible values is defined in " Fields and Relationships " (Option D) or a " Global Value Set " (Option C), the Record Type determines which of those values are " available " for a specific type of record. For example, a " Wholesale " record type might show different discount levels than a " Retail " record type. If users are seeing inconsistent or incorrect options, the Platform Administrator must go to the specific Record Type settings for the Opportunity object, find the picklist in question, and move values between the " Available " and " Selected " columns. This provides a tailored user experience and prevents users from selecting values that do not apply to the specific type of record they are managing.