Contact and identity
Person, communication details, consent, role, relationship, source, owner, status, and duplicate signals.
How is one real person recognized across forms, imports, and updates?Define CRM requirements in operational terms so vendors demonstrate how work actually runs—not just whether a feature name appears on a pricing page.
“Contact management” and “automation” are category labels. A requirement becomes useful only when it names the record, actor, trigger, exception, evidence, and decision.
Good data design reduces duplicates and makes workflow, permission, and reporting behavior testable.
Person, communication details, consent, role, relationship, source, owner, status, and duplicate signals.
How is one real person recognized across forms, imports, and updates?Organization, sites, parent-child relationships, segment, territory, stakeholders, value, and risk.
Which level owns the relationship, contract, activity, and measure?Business situation, value, stage, likelihood, priority, blocker, evidence, outcome, and loss reason.
What must be true before the record advances or closes?Type, participant, owner, due date, completion, outcome, next action, and related record.
Can the team find commitments that lack a next step?Use the same scenario across vendors and record what actually happens.
| Feature family | Minimum useful behavior | Deeper test |
|---|---|---|
| Workflow and automation | Assign, notify, validate, route, approve, update, and preserve history. | Failure handling, retries, escalation, manual override, and change governance. |
| Views and collaboration | Role-specific queues, filters, comments, files, and linked context. | Permission boundaries, external participants, audit history, and conflicting edits. |
| Reporting and analytics | Current counts, trends, funnels, aging, ownership, and outcome measures. | Definition governance, snapshots, cohort logic, attribution, forecasting, and source drill-down. |
| Integration and import | Map, validate, create, update, deduplicate, and report failures. | Identity resolution, bulk volume, API limits, observability, reconciliation, and rollback. |
| Administration | Configure fields, relationships, rules, views, roles, and dashboards. | Sandboxing, testing, release control, dependencies, documentation, and recovery. |
| Specialist functions | Email, calling, sequencing, service, marketing, AI, territory, or industry capability. | Confirm native scope, edition, usage limits, data rights, and operational evidence. |
A scripted test makes feature differences visible.
Create a person and company, detect a duplicate, assign ownership, and link current work.
Move a situation through a rule, then create a missing-data or overdue exception.
Give two roles different views and make the handoff visible.
Open a metric, explain its definition, and inspect the source record.
Add a required field, conditional route, role view, and measure.
Reliable contact and account relationships, visible ownership, activity and next-action management, workflow, role-specific views, source-linked reporting, security, integration, and manageable administration form the common core.
Prioritize clean customer records, ownership, follow-up, simple workflow, useful views, and reporting the team will actually maintain. Add native sales, marketing, service, or analytics functions only when a real process requires them.
Ask a trained administrator to make a focused change in the product, test its effect on existing data and permissions, and explain how the change is reviewed and released.
Teams can test linked records, routing, roles, views, dashboards, and focused changes in one application.
Jodoo should not be scored as if it includes every native sales, marketing, service, communications, intelligence, or vertical function found in specialist CRM suites.