HubSpot Service Software study plan

Diagram how a HubSpot help desk pipeline flows from an inbound email or form submission to a closed ticket, labeling each stage transition

Configure a ticket pipeline with at least four stages and map each stage to a clear exit criterion

List the ticket properties that drive routing and reporting, and explain why each one matters

Practice creating, merging, and reassigning tickets in a sandbox portal and record the behavior of each action

Set up a shared inbox with at least two connected channels and assign conversation ownership rules

Compare ticket-based and conversation-based workflows and decide which customer scenarios belong in each

Configure SLA targets by ticket priority and verify how breach states surface to agents

Write a short agent playbook covering canned snippets, mentions, and handoff etiquette

Build a routing rule set that assigns tickets by team availability, owner status, and ticket priority

Configure a round-robin assignment rule and test it with simulated ticket volume

Design a chatbot flow that qualifies an inquiry and hands off to a human with full context

Document where automation should stop and human review should begin, with two concrete examples

Draft the content for a customer-facing AI agent, including tone guidance and escalation triggers

Build a knowledge-grounded answer flow and identify which sources the AI agent should and should not use

Create a test set of ten realistic customer questions and score the AI agent's answers against expected outcomes

Define the metrics you would watch to decide whether automation is helping or harming resolution quality

Outline a knowledge base structure with categories that match the top five recurring ticket reasons

Write three complete help articles that each solve one customer problem end to end

Apply formatting conventions for scannability, including headings, steps, and short paragraphs

Configure article visibility and access rules for at least two audience segments

Connect knowledge base content to the shared inbox so agents can insert articles into replies

Set up a self-service entry point and verify that customers can find an answer without contacting support

Audit articles for gaps, outdated steps, and missing screenshots or examples, then log the fixes

Define a review cadence and ownership model for keeping articles current

Build a service dashboard tracking ticket volume, first response time, resolution time, and reopen rate

Segment reporting by channel, team, and ticket priority to expose where delays concentrate

Interpret customer health signals such as satisfaction ratings and repeat contact behavior

Identify one retention risk pattern in the data and propose a service intervention for it

Review weak areas from prior weeks and rebuild the two configurations you understood least

Run a timed practice set across all four domains and log every missed question by domain

Re-explain routing logic, knowledge base structure, and reporting metrics from memory without notes

Finalize a one-page reference sheet of key terms and configuration decisions