Role-Based Programme
RB0823

Make.com for Product & Service Management

Automate Product Workflows, Customer Feedback & Team Coordination

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Make.com can automate repetitive product and service-management activities across connected business systems.
  • Explore workflows for product requests, customer feedback, backlog coordination, stakeholder notifications, and service follow-ups.
  • Understand how triggers, modules, routers, filters, and webhooks work together to automate multi-step processes.
  • Explore AI-assisted workflows for classifying, summarising, and organising product and customer information.
  • Recognise where product judgement, approvals, data validation, and human oversight must remain part of automated workflows.

Tools covered

Make.com Scenario BuilderTriggers & ActionsRoutersFiltersWebhooksApplication IntegrationsData StoresMake AI Agents (New)

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • Product Operations Professionals
  • Service Managers
  • Product Analysts
  • Business Analysts
  • Customer Experience Managers
  • Product Strategy Professionals
  • Service Design Professionals
  • Product & Engineering Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management activities
  • Familiarity with customer feedback, product requests, requirements, or backlog workflows
  • Basic awareness of CRM, support, project-management, or collaboration applications
  • No programming expertise required
  • No previous Make.com experience required

TOC Modules

Concepts
  • Understanding scenarios, modules, triggers, actions, and workflow execution
  • Identifying automation opportunities across product discovery, delivery, support, and product operations
  • Understanding manual processes versus connected automated workflows
  • Recognising activities where product-manager judgement remains essential
Practical activities
  • Exploring the Make.com Scenario Builder
  • Building and running a simple product-management automation

Scenarios

Customer Feedback to Product Review

Customer Feedback → Make.com → Capture & Classification → Product Theme → AI-Assisted Summary → Product Manager Review → Backlog / Follow-Up Action

Participants automate the initial collection and organisation of customer feedback while keeping product teams responsible for validating insights and determining roadmap actions.

Product Request to Cross-Team Coordination

Product Request → Form / Application → Make.com → Validation → Router & Filters → Product Owner → Connected System Update → Stakeholder Notification

Participants build a workflow that captures and routes product requests, updates relevant systems, and improves visibility across product and service teams.

*Make's current AI Agents (New) capability supports agents with instructions, knowledge, connected modules/scenarios and MCP tools; Make recommends standard scenarios for predictable logic and agents where flexible reasoning is required.* ([Make Help Center][1])

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