Insight
Data Foundations Setup
A small cloud data warehouse in BigQuery or Postgres with up to 4 business tools synced daily, 10 cleaned reporting tables and…
Insight
AI Survey Analysis
Hundreds of open-text survey answers turned into named themes and sentiment, without anyone reading each one.
Open-text survey answers hold the most useful feedback you collect, and they often go unread. This build reads every response, groups them into named themes and gives each a sentiment score. Each theme is backed by real example responses, so you can see exactly what customers said. Summaries arrive by email or Slack after each survey wave.
- Every open-text answer grouped into named themes
- Each theme backed by real example responses
- Consistent themes, so waves can be compared fairly
$5,500
20–30 working days
Optional maintenance $275/mo
What it is
AI Survey Analysis reads open-text survey responses, such as NPS or customer feedback verbatims, and groups them into named themes with a sentiment score, so you see what customers are actually saying without reading every reply. Every theme is backed by real example responses.
Why businesses buy it
Teams run surveys, read a handful of comments and move on, because reading hundreds of replies is slow. The real patterns get missed, and decisions rest on scores alone. This build reads every response the same way each wave, so you see what is changing and why. Example quotes make every theme easy to trust and share. The written scope sets the sources, themes and checks against past survey data before you order.
Problems this solves
Open-text survey replies pile up unread after every survey
The tool reads open-text responses, such as NPS or feedback verbatims, and groups them into named themes. You see what customers are saying without reading every reply yourself.
Teams cherry-pick quotes that support what they already believe
Every theme is backed by real example responses and carries a sentiment score. Discussions start from the full set of replies rather than a few memorable comments.
Each survey is analyzed differently, so trends are hard to compare
Themes and recurring questions are defined with you, up to twenty-five in total. Each new batch is grouped the same way and reported through one dashboard or recurring report.
A good fit if
You run recurring surveys, such as NPS, CSAT or product feedback, and the open-text answers pile up unread.
You want named themes and a sentiment score, not just a star rating averaged across responses.
You already export survey results to a tool such as Google Sheets or a database, and can grant read-only access.
You want the same analysis repeated each survey wave, so trends are comparable over time.
Not the right fit if
Your source is customer conversations or support tickets rather than a survey. See AI Customer Insights, which combines multiple customer data sources into segment-level insights.
You want the recurring report on the survey results written up as prose. See AI Report Narratives, which writes that commentary.
You need the results delivered as a live, always-on dashboard rather than a themed summary per wave. See AI Business Intelligence Dashboard.
You want alerts the moment sentiment drops below a threshold. See AI KPI Monitor, which watches defined KPIs continuously.
You want themes from tickets, calls and surveys tracked over time for a CX team. See AI Customer Feedback Intelligence. Product teams ranking themes for the roadmap should see AI Feedback Synthesis.
How it works
- You send us a recent survey export, such as NPS or CSAT verbatims, as one of your 3 read-only sources.
- The agent reads every open-text response and groups them into named themes, such as 'shipping delays' or 'pricing confusion'.
- Each theme gets a sentiment score and a count, so you can see which issues are largest, not just loudest.
- A short written summary and the themes are delivered to the channel you choose, such as email, Slack or a dashboard.
- Results are checked against 3 months of your historical survey data, so themes stay consistent from one wave to the next.
- New survey waves are analyzed on the schedule you set, with the same theme definitions applied each time for comparison.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your survey exports, such as a Google Sheet, database or survey tool export.
- Your own definitions of the metrics that matter, such as which themes to watch or which score counts as detractor.
- At least 3 months of historical survey data, so themes can be checked before launch.
- The list of recipients and the channel you want summaries delivered to.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can confirm the theme definitions before launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake confirmed and priority themes and metric definitions agreed.
Weeks 1–2
Survey data connected and theme and sentiment detection built.
Week 3
Scheduled summaries and alert thresholds configured.
Weeks 3–4
Themes tested against 3 months of your historical survey data.
Week 4
Your review and two rounds of changes.
Go-live
Live, handover report sent, 30 days of support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,500 |
| Express | 15–25 working days | $6,450 |
| Rush | 10–20 working days | $7,450 |
What you receive at handover
- The AI survey analysis set-up, live in email, Slack or a web dashboard
- Read-only connections to up to three survey or feedback sources
- Defined themes and recurring questions, one dashboard or recurring report and up to five alerts
- A test report checking results against three months of your past responses
- An admin guide and the written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Can turn a backlog of comments into a short list of themes
- Helps teams act on what customers actually say
- Makes survey results comparable from one round to the next
- Time to analyze a survey round
- Time the last manual analysis. Compare with the time from survey close to report after launch.
- Theme volumes over time
- Track the count of responses in each theme per round from the dashboard.
- Actions taken from themes
- Keep a simple log of changes made in response to each theme and review it quarterly.
Before you start: Record how long your last survey analysis took and which themes it found. Keep that report to compare with the first automated one.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build itself is a one-time payment, shown before you buy. Running the analysis costs roughly $20 to $150 a month in your own accounts, covering AI model usage and hosting or scheduler fees, depending on survey volume and how often waves run.
AI usage during the build and testing is billed to your own accounts as well, so the provider relationship stays in your name.
Ask about running costsCustom requirements
If you run more than one survey source or want results in a second language, add a note at checkout for a written Change Quote. Your order still runs on its original delivery date. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and change hours for new themes, an extra survey wave or revised sentiment rules. The change hours scale with the build. It starts after the included support period and can be cancelled any month.
$275/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A survey platform's AI add-on charges extra per response analyzed | A research agency quotes per project for coding open-text answers | Ours is one fixed price, shown before you buy |
| Delivery | A survey platform add-on is instant to enable but generic out of the box | An agency project usually takes several weeks to code manually | Ours has a fixed delivery time shown before you buy, with faster options |
| Themes | A survey platform's default themes are generic categories, not your business's language | An agency's coding scheme depends on the analyst assigned | Ours uses themes and definitions your team agrees to before launch |
| Consistency | A survey platform's AI can re-group themes differently each wave | An agency's coding can vary analyst to analyst | Ours applies the same theme definitions every wave, so trends compare |
Questions about this product
What does the AI Survey Analysis price include?
One fixed price, agreed before work starts, covers up to three read-only data sources, up to 25 defined themes or metrics, one delivery channel and checks against three months of your past survey data. Faster delivery options are shown in the price panel before you order, and there are no other build fees.
What survey formats does AI Survey Analysis read?
Any export you can put into a connected source, such as a Google Sheet, database or a survey tool's CSV export, works. Tell us your survey tool during intake, and we confirm the connection and theme definitions in the first ten working days of the build.
How long does AI Survey Analysis take to launch?
The standard, Express and Rush delivery times are all shown in the price panel before you order, and the clock starts once your intake is complete. Delays only happen when survey data or theme definitions arrive late, which moves delivery by three working days per day of delay.
How does AI Survey Analysis decide on themes?
From your own priority questions and definitions, agreed during intake and checked against 3 months of your historical survey data before launch. Themes are named to match how your team already talks about issues, not a generic off-the-shelf category list.
How much does AI Survey Analysis cost to run each month?
Roughly $20 to $150 a month in your own accounts, covering AI model usage and hosting or scheduler fees. The figure depends on how many responses are analyzed and how often survey waves run. You pay these providers directly, with no markup added by us.
Can AI Survey Analysis cover a second survey later?
Yes, as an add-on. A second survey source is quoted through a written Change Quote based on your request, before any work starts. Adding a new theme to the existing survey fits inside the monthly change hours that come with maintenance instead.
Who owns the theme definitions AI Survey Analysis creates?
You do. The theme definitions, sentiment scoring and every summary belong to you, running against your own survey data in your own accounts. If maintenance lapses, the analysis keeps running; you lose the monthly monitoring and included change hours. While active, those hours cover new themes, an extra survey wave or revised sentiment rules.
Stop letting open-text survey answers go unread.
Order AI Survey Analysis and every survey wave gets themed and scored automatically. The scope above is what you get, in writing, before you pay.
Works well with
Insight
Business KPI Dashboard Build
One business dashboard in Looker Studio or Power BI with up to 3 pages, 20 KPIs and 3 data sources, refreshed on…
Insight
AI Data Analyst Agent for Hotels & Hospitality
Answers plain-language questions against your data and produces charts and summaries, adapted for Hotels & Hospitality businesses that need quick answers on…