Prepare a quarterly business review deck for a customer account using product usage data and past support tickets

Pulling data from multiple systems and summarizing months of ticket history by hand takes hours, leading to rushed decks that miss key usage trends or unresolved support patterns.

Before
120 min
After
60 min
Saved
60 min
Step diagram: Prepare a quarterly business review deck for a customer account using product usage data and past support tickets — 6 steps, 3 handled by AI and 3 by you.

How this used to go

  • Export product usage metrics and license utilization numbers from the analytics platform
  • Pull and read through closed support tickets from the helpdesk system to identify recurring issues
  • Compile active feature request lists and cross-reference them with the customer's primary use cases
  • Draft an outline for the presentation structure covering adoption, support health, and upcoming goals
  • Copy data points and ticket summaries manually into presentation slides
  • Format charts and tables to make the metrics readable for executive stakeholders

Manually digging through dozens of resolved support tickets to find common themes without missing important customer complaints.

The workflow, step by step

  1. You

    1. Gather the account materials

    Export the agreed product usage, license utilization, support ticket, feature request, and customer-use-case data for the quarter. Remove unrelated accounts or sensitive records before providing the materials for analysis.

  2. AI

    2. Organize usage and adoption trends

    Combine the supplied usage and license data into a consistent account summary, highlighting changes over time, underused capabilities, and notable adoption patterns. Flag missing periods, inconsistent definitions, or figures that cannot be compared reliably.

  3. AI

    3. Summarize support health and requests

    Group the supplied closed tickets by recurring issue, product area, severity, and resolution status, then connect those themes with the active feature requests and stated customer use cases. Separate documented patterns from single-ticket observations and identify unresolved items that need confirmation.

  4. You

    4. Choose the account narrative and commitments

    Decide which usage trends and support themes belong in the executive discussion, which claims must be excluded because the evidence is weak, and which upcoming goals or follow-up commitments are realistic. This decision determines the priorities and promises presented to the customer.

  5. AI

    5. Draft the quarterly review deck

    Create a slide outline and draft content covering adoption, license utilization, support health, recurring issues, feature requests, selected evidence, and the agreed goals. Add clearly labeled tables or chart specifications using only the supplied figures and note any data limitations on the relevant slides.

  6. You

    6. Validate and deliver the presentation

    Check every figure, ticket theme, customer reference, and commitment against the source records, correcting or removing anything unsupported. Apply the account's presentation format, confirm the owners and dates for agreed actions, and deliver the final deck.

What you end up with

A customer-ready quarterly business review deck covering verified usage trends, license utilization, support themes, feature requests, data limitations, and agreed next steps.

Where this falls apart

  • The input ticket history contains ambiguous jargon or unresolved technical descriptions, which causes the model to misclassify recurring support issues and generate incorrect health summaries.
  • The source usage data includes incomplete tracking periods or mismatched metric definitions, which causes the model to hallucinate adoption trends and present invalid utilization figures.

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