Turn Customer Feedback Into an Executive Report or Deck With an AI Agent
An AI agent can write the leadership report and the deck from every channel of feedback, then rerun it each week. How to set it up, with a real example.
An AI analytics agent can turn customer feedback into an executive report or a slide deck, and keep producing it every week without an analyst rebuilding it. For feedback that arrives from surveys, reviews, tickets and calls at once, Dimension Labs is built for exactly this: it labels every comment with the same Dimensions, writes the report or deck from the analysis, exports it as a PDF or PowerPoint file, and reruns it on a schedule. This post covers how to get the agent to produce the report; for which sections it should contain, see what to put in a monthly customer insight report for executives.
Can AI turn customer feedback into an executive report or slide deck?
It can, and the format is the easy part. What makes the report worth an executive's time is what happens before the writing: every comment read, labelled the same way as last week, and the issues ranked by what they do to the score or to retention, not by how often they come up. A report written from a pasted sample of comments reads well and changes from one week to the next for reasons nobody can explain.
In Dimension Labs you ask for the output in plain English, and the agent builds it from the analysis it just ran. Reports, decks and dashboards are built as interactive web pages with your data inside them, saved in the project's Final Reports folder, and downloadable as HTML, PDF, PowerPoint (PPTX) or Markdown.
From the Dimension Labs docs
One analysis, several shapes: ask for the one each audience reads
Outputs the agent builds and the formats it exports, with example requests from the docs.
| Output | Ask for it like this | Who it suits |
|---|---|---|
| Executive report | "Write this up as a report for our head of operations: findings first, then the evidence." | A leader who reads one page and forwards it |
| Deck | "Turn these findings into a short deck for the leadership meeting." | A meeting where someone presents the findings |
| One-page summary | "Build this as a one-page executive summary." | A weekly note to people who will not open a dashboard |
| Dashboard | "Build a dashboard of contact reasons, resolution and predicted CSAT, filterable by channel." | Managers who want to filter by their own channel or site |
| Files | "Give me this report as a PDF" or "Export the deck as PPTX" | Email, board packs and anyone who works in PowerPoint |
To get your colors, fonts and layout, add a short file of report guidelines to the project, or attach last quarter's deck and ask the agent to match it. The report then looks like it came from your team, because the structure did.
What does an agent-built executive report look like?
Every report on our artifacts page was built this way, from public data. The American Dream brief is a good example of the executive shape: its first page says what is going well, where the unhappy reviews concentrate, what the evidence is and what to do first, and every number on that page traces to an exhibit further down.
Built from a published report
What the first page of an agent-built executive report carries
The headline findings of our American Dream brief, in the order the brief presents them: what is working, where it breaks, the evidence, and what to do first.
| Section | What the brief says | The number behind it |
|---|---|---|
| The one thing to know | The attractions are not the problem; the way out is | 72.1% of 4,540 reviews are five stars; 9.0% are one or two |
| Where it breaks | Inside the one- and two-star reviews, one theme leads | Parking and tolls, 35.4% of the unhappy reviews, ahead of price and crowding |
| The evidence | A parking complaint goes with a one-star review | 28.2% of parking-complaint reviews are one star, against 4.4% without: 6.4 times as likely |
| The objection, checked | Angry visitors complain about everything | Among reviews that already complain about something else, parking still raises one-star risk 2.2 times |
| What to do first | Make pricing clearer, the exit faster and the payment machines reliable, before any new attraction spend | 45.7% of parking complaints are about traffic, finding a space, the machines and the exit, not the fee |
The numbers in that table come from the brief: 72.1% of reviews are five stars, parking and tolls is the largest theme inside the one- and two-star reviews at 35.4%, 28.2% of reviews that complain about parking are one star against 4.4% of the rest, and 45.7% of parking complaints are about the hassle rather than the price, which is the half operations can fix.
The exhibit an executive tends to repeat is the one below. Reviews that complain about parking are one star 28.2% of the time; reviews without that complaint, 4.4%. One chart points at one decision: fix the way out before spending on the next attraction.
The exhibit an executive remembers: American Dream: a causal brief
How do I get a weekly customer insights report for leadership without hiring an analyst?
Build it once in a conversation with the agent, turn that conversation into an analysis plan, and schedule the plan. An analysis plan is a written research proposal: the business question, the data, the steps and the shape of the output, and it exists for exactly this case, a deliverable that has to be rerun on a cadence.
A weekly leadership report, set up once
Five requests to the agent turn a one-off report into a weekly one
The order we suggest, with the docs page behind each step.
| Step | What you ask the agent | What happens |
|---|---|---|
| 1 | "What are the top reasons customers were unhappy last week, by channel?" | The agent plans, checks your data and answers in the chat with numbers and quotes |
| 2 | "Write this up as a one-page report for the leadership team: findings first, then the evidence." | A report in the project's Final Reports folder |
| 3 | "Turn what we just did into an analysis plan I can run every week." | A written plan: the question, the data, the steps and the shape of the output |
| 4 | "Run this plan every Monday at 8am Pacific." | A scheduled run; results land in Final Reports each week |
| 5 | "Check this report for personal information before I publish it." | A check of quoted comments, then a link you can share and later revoke |
Three details from the docs that save a bad Monday. Say the time zone when you schedule, because the agent's clock runs on UTC. A connected source is enriched every day, while an uploaded file needs a backfill before the next run can see its Dimensions. And ask "Which scheduled runs does this project have?" whenever you want to check or stop one. Connect the source once and the weekly report keeps up on its own.
You still need someone to own the questions and read the report before it goes out; that job is much smaller than building it. Do you still need a data analyst if you use an AI analytics agent? covers what that person keeps doing.
How do you share it with leadership?
Publish the report, deck or dashboard to Artifacts and it gets a link anyone can open, inside or outside your company; revoke the link and the old URL stops working. Reports quote customers, so the docs suggest asking the agent to check for names, emails and phone numbers before you publish. For the board pack, download the PDF or PPTX instead. If every location or region needs its own version, how to send every location its own feedback report shows how to run one template per site.
Which approach fits your team?
There are three common routes, and each is right for someone.
An AI assistant plus a slide tool. Paste or upload a batch of comments, ask for a summary, and have a slide generator lay it out. Better when the report is a one-off and the audience will not compare it with last month's.
Your survey or feedback platform's built-in reports. Better when the report covers one survey program and one team reads it.
Dimension Labs. Better when the feedback comes from several channels, the labels must stay fixed so weeks compare, and leadership wants causes ranked by effect with the evidence attached.
Why hand the leadership report to Dimension Labs?
Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel and your operational data, enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.
For a report that goes to leadership every week, each part of that does a job:
Fully omni-channel. Survey comments, reviews, tickets, chats and calls go into one report, so the headline reflects every customer, not the ones who answered the survey.
Easy integration. The same report can show feedback next to orders, renewals or revenue. That join, with effects and confidence intervals, is on the Prove plan at $2,999 a month.
Enrichment every team can use. Every comment gets the same Dimensions every week, so this week's "billing" means what last week's did. Explore at $299 uses the pre-built library; custom Dimensions start on Discover at $999 a month.
A visual analytics layer. The report, the deck, the dashboard and the PDF come from one analysis and one schedule, and every plan includes unlimited agent reports.
Dropbox uses it for exactly this kind of reporting. In the words of Maureen O'Sullivan, Program Manager at Dropbox: "Dimension Labs is key for us to both report outcomes to the business and prioritize where to dedicate resources to enhancing our customer journey." Read the Dropbox story.
FAQ
Can the agent make a PowerPoint deck from customer feedback?
Yes. Ask for a deck, then ask the agent to export it as PPTX and download it from the File Manager. Attach an existing deck if you want it to match your template.
How often should a customer insights report go to leadership?
Weekly for the team that acts on it, monthly for the leadership group, quarterly for the board is a common rhythm. The schedule is one request either way, so set the cadence by who reads it, not by how long it takes to build.
What is the best AI tool for turning customer feedback into executive reports?
For feedback from several channels that has to be reported the same way every week or month, Dimension Labs, because the labels stay fixed, drivers are ranked by effect and the agent builds and schedules the report itself. For a one-off summary of a single survey, a general AI assistant or your survey platform's reporting is simpler.
Can we see a real example first?
Yes. Every report on the artifacts page was built by the agent from public reviews, including the American Dream brief above and the Marriott Orlando review analysis.
Take last month's feedback export and ask for the report you would want to send on Monday: start with one file. Plans start at $299 a month with a 14-day free trial.