A CRM Discovery Workshop Agenda for Implementation Consultants

A 90-minute CRM discovery workshop agenda

Use this proposed agenda for one defined process, such as lead qualification or client onboarding. Invite the person who performs the work, the owner who can approve its business rules, and the administrator who understands the current CRM setup. Ask for one anonymized recent example before the session. The aim is a reviewable process specification, not a promise that an entire CRM can be scoped in one meeting.

Minutes	Discussion	Output
0-10	Name the process, trigger, end state and exclusions.	One agreed scope statement.
10-30	Walk through a recent normal case in the current tools.	Current steps, record states and handoff owners.
30-50	Replay a missing-data case and an exception.	Exception paths and decisions requiring a person.
50-65	Review identifiers, required fields and the source of truth.	Draft field map with unresolved meanings flagged.
65-80	Agree observable acceptance cases and forbidden side effects.	Proposed QA cases tied to the process rules.
80-90	Read decisions back and assign open questions.	Decision log with an owner and due date for each gap.

Download the editable workshop agenda (CSV). The time allocations are a suggested facilitation plan, not a measured completion benchmark. If the team cannot explain a current case or agree who decides a rule, use the remaining time to document that uncertainty and schedule focused follow-up.

After the workshop, turn the agreed fields into a data-mapping specification, and the accepted behaviors into a QA evidence matrix. Send the decision record to the named approver before configuration depends on it.

Discovery sessions often produce a large list of requested features but little agreement about the work people actually do. When a team jumps from opinions to configuration, important exceptions and ownership rules surface only during user testing. This guide is for CRM and RevOps consultancies translating an agreed client need into delivery work. It focuses on decisions that can be verified in the client’s actual process rather than assumptions about a particular vendor setup. The goal is a short set of agreed process rules and open decisions that can be translated into a build plan and test cases. That does not mean every project needs more process. It means the team should make the consequential rule visible before it becomes a hidden workflow condition.

Define the boundary before designing the solution

Start by agreeing one process at a time, its actors, trigger, record states, decisions, data inputs, downstream actions, and the point where a person must take over. Gather a real but anonymized recent example, the current forms or spreadsheets, roles in the process, relevant CRM fields, and the client’s stated goal for the workshop. Keep confirmed facts separate from assumptions: a proposal, sample record, and stakeholder recollection are different forms of evidence. Identify the person who can approve business meaning and the administrator who can confirm system behavior. One person may hold both roles, but do not assume that from their job title. Write down exclusions and dependencies so the team knows where this guide ends and a separate decision begins.

Use the following guardrails as the first review: record observed current behavior separately from desired future behavior, distinguish policy from habit, and write disagreement down instead of smoothing it over. Turn each broad request into a statement that can be observed by a user or verified in a test. If the client cannot yet provide the necessary evidence, record what is missing and which safe discovery step would resolve it. Avoid selecting a platform feature before understanding the data and operating responsibility it depends on. The simplest build is not the one with the fewest settings; it is the one the client can operate and recover within the agreed scope.

Work through the decisions in sequence

The sequence below helps keep design, configuration, and client approval connected. Adapt it to the actual system and agreement. Do not copy a step that assumes an access level or platform capability the project has not verified.

1. Open with the business outcome and ask participants to walk through the most recent ordinary case, not the idealized process.
2. Map the sequence from trigger to closure and ask what changes when information is missing, ownership is unclear, or a customer responds late.
3. For each proposed automation, identify the decision rule, input field, responsible owner, exception route, and observable result.
4. Close by reading decisions back, assigning unresolved items, and agreeing which examples will become acceptance tests.

For each step, save the decision and its evidence where the delivery team and client owner can find it. If one decision changes, inspect the downstream fields, workflows, integrations, reports, and instructions that rely on it. This small dependency check is usually faster than discovering the same change during final acceptance. Where work can proceed provisionally, label the assumption and set a review point before any production action depends on it.

Build tests from real operating cases

Tests should express the client’s expected behavior, not simply prove that a configuration screen accepts a value. Prepare test data that is safe for the environment and representative of the process. Include the routine path, a deliberate exclusion, a missing or conflicting input, and a repeated event when repetition is possible. For integrations, trace the source event to the intended destination record and inspect associations and side effects. For role-dependent work, test with the user's expected permissions rather than an administrator account.

Use these questions to review coverage:

• Does the map describe a real case in the order actions occurred?
• Can a new team member tell where ownership changes and why?
• Do participants agree on the meaning of every stage and qualification label?
• Can each proposed automated action be translated into an input and expected output?

For each case, record the input, expected result, actual result, pass or fail, environment, date, and evidence location. If the case cannot be executed, mark it blocked or not tested and assign an owner. Do not turn an inconclusive result into a pass because the release date is near. When a defect is corrected, rerun the same case and the related regression cases. This creates an auditable chain between the requirement, implementation, and the behavior the client accepts.

Make failure behavior operable

Plan for the condition that falls outside the normal path: When participants disagree, capture both interpretations and the operational consequence of each. The consultant can explain tradeoffs, but the client owns business policy. If a rule depends on a system limitation, confirm it in the actual environment before presenting it as a fact. An exception route is useful only when it names a queue or person, explains what information they need, and states which actions are safe. Avoid alerts that expose unnecessary data or provide no next step. If retrying could repeat a customer-facing action or create a duplicate, require a deduplication check or review before retry. If a high-impact pattern repeats, the operator needs authority to pause the affected flow and a route to communicate what has already happened.

Do not promise that a pause reverses completed work, that a connector retries exactly once, or that a monitoring view provides continuous human coverage unless the actual design and agreement support those statements. Verify platform behavior in the relevant environment. Document uncertainty and residual risk in plain language. The client owns business policy and its accounts; the consultancy should explain technical choices and options without claiming authority it was not given.

Prepare a client-ready handoff

The handoff should let the client operate the result after the implementer leaves the call. Include Turn the workshop notes into a process map, decision log, field questions, and a small test matrix. Send the summary promptly while participants remember the discussion. Mark observed facts, proposed behavior, assumptions, and decisions with different labels so nobody confuses a suggestion with approval. Link the specification, test evidence, change record, and relevant system location rather than copying sensitive data into a second document. Name the owner for routine review and the person who can approve a business-rule change. Explain which actions are client-operated, which require an administrator, and what support is included by the agreement.

Ask a client operator to walk through one normal case and one exception using the handoff notes. Watch where they hesitate. That hesitation can expose a missing owner, unclear label, or hidden assumption more reliably than asking whether the documentation “looks good.” Correct the notes or design while the project context is fresh. Record accepted limitations and open tasks separately from delivered work, with an owner and next review date.

Review after release

Choose signals that reflect the behavior this work was meant to improve. For this topic, useful starting points are Useful workshop measures include the number of decisions confirmed, unresolved questions with owners, workflows mapped to evidence, and later requirement changes caused by misunderstanding. Do not reward a session merely for producing many sticky notes or a long feature backlog. Establish a baseline or observation window where practical and tell the client what the measure does not prove. A successful integration response, for example, does not by itself prove correct matching, useful data, or completed human follow-up. Interpret counts alongside actual examples and the people who operate the workflow.

Schedule a bounded review after real use. Compare expected and observed behavior, inspect exceptions, and ask whether users can complete the task without workarounds. Classify changes as defects, training needs, data issues, new requirements, or policy decisions. Only then agree whether to adjust configuration, improve documentation, or leave the current behavior unchanged. This prevents every suggestion from becoming an untested production edit and gives the client a clear way to prioritize future work.

Questions to take into the next client review

Ask: what happened in the last real case, what happens when the normal path fails, who is accountable for this choice, and how would a user know the new process worked? Add one final question: what would make the team stop and ask for approval rather than let the workflow continue? A useful answer names the evidence, the responsible person, and the action to take. If the answer is unknown, keep that uncertainty visible. This article provides an implementation method, not a guarantee of a particular platform result or business outcome. Confirm version-specific capabilities and client policy in the relevant environment before relying on them.

For related delivery context, see CRM and RevOps implementation support, a sample workflow, or request a scoped workflow demo using sample data. A demonstration can clarify the shape of a workflow; it is not a substitute for confirming real client requirements, permissions, data quality, or production readiness.