Hear the themes you didn't know to look for—across every channel
Every week, millions of customers tell you what they think—in CSAT and NPS surveys, online reviews, social posts, complaints and contact-centre messages. Most of it is never read. The tools you have only report the themes someone set up in advance, so the shift that matters—a new frustration, a cost-of-living change in how people shop—stays invisible until it's already moving your score. Sainsbury's hears 4.5 million customer voices a year this way, and acts on them.
Wordnerds turns what customers say into what organisations do. We integrate AI-powered insight from surveys, complaints, reviews and calls directly into Power BI where decisions happen — so everyone in the organisation can act on what customers are saying, not just the insight team.
Why does so much of your customer feedback go unheard?
Retailers collect customer feedback from CSAT and NPS surveys, online reviews, social, complaints and the contact centre—millions of comments a year, in separate systems. But the analytics tools they run need categories defined in advance, so any theme nobody set up stays invisible, and most of what customers actually wrote never reaches a decision.
Your customers take the time to tell you what they think—in the survey free-text box, in a one-star review, in a message to the contact centre. The problem isn't that you don't have the feedback. It's that it arrives in separate systems that don't talk to each other, in volumes no one can read by hand, and your tools only show you the buckets someone set up months ago.
So when shopping behaviour shifts—a new complaint about availability, a cost-of-living change in what people buy—it doesn't show up as a theme, because no one knew to create one for it. By the time it's big enough to move a score, it's been in your customers' words for weeks.
When the score moves, the board wants to know why—in days, not a quarter
In retail, a CSAT or NPS score maps to revenue and like-for-like sales, so when it moves the board asks what's driving it—and "the survey says it dropped" isn't an answer. Wordnerds shows you which themes are behind the movement, in your customers' own words, in days rather than waiting for the next quarterly readout.
Retail moves faster than the reporting cycle. Cost-of-living pressure changes what people buy and what they complain about, week to week—and a quarterly score that's gone down three points tells you something happened, not what. The cost of finding out the slow way is a quarter of trading before you can respond.
When every channel is themed the same way and the themes update as the feedback arrives, the question "what's moving the score?" has an answer you can take into a trading meeting—down to the store and the category—instead of a hunch you'll confirm next quarter.
What changes when every customer voice is in one place?
Three things you can do the moment every channel is themed the same way.
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GENERATE-IMAGES: pillar illustration 640×360px. Many retail feedback channels (survey / review / social / complaint / chat) converging into one unified, consistently-themed stream landing in a Power BI-style surface; uniform house-style, warm brand palette
One view of every channel
Surveys, reviews, social, complaints and contact-centre messages in one analysis-ready stream, themed the same way—so sentiment is comparable across every touchpoint instead of trapped in five systems. Delivered into Microsoft Power BI, where your trading, marketing and CX teams already work, so the insight reaches the people who make the calls.
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GENERATE-IMAGES: pillar illustration 640×360px. A customer-feedback theme broken down across store / region / format / category tiles (drilldown), one tile highlighted; uniform house-style, brand palette
Drill to store, region, format and category
A theme is never just "service is down." Break it by store, region, format and product category—food, clothing, home, café, online—or by depot and time of day, so you see which part of the business is driving the number. For example, a delivery-slot frustration concentrated in one depot's afternoon slots rather than spread across the estate.
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GENERATE-IMAGES: pillar illustration 640×360px. A customer-feedback theme's trend line moving over time with an early-warning cue (a theme rising before it becomes a problem); uniform house-style, brand palette
Trends you can see moving
Watch whether a concern is growing or fading, and which themes are driving a score before it shows up in the headline number—so you act while a problem is small instead of explaining it after it's cost you. Proactive, not the quarterly post-mortem.
Themes you didn't define—surfaced from your customers' own words
Wordnerds extracts organic topics straight from open-ended responses, so the themes come from what customers actually say—not from a list set up in advance. Emerging issues, like a cost-of-living shift in shopping behaviour, surface before anyone thought to look for them, and you can read the comments behind every theme.
Most feedback tools start with a question: what categories do you want to track? You build a taxonomy, and from then on every comment is sorted into one of those boxes. It works—right up until customers start talking about something you didn't have a box for. Then the most important emerging theme is the one your tool can't see.
Wordnerds works the other way round. Instead of forcing comments into pre-set buckets, we let the topics surface themselves from the open-ended text, then track them over time as they grow or fade. Nothing is hidden behind a category you forgot to create, and because every theme traces back to the comments that formed it, you can always see—and show—exactly why it's there.
How does it work for a retail insight team?
Three steps—from scattered customer feedback to emerging themes in Power BI. The full method is one click away.
Bring every channel together
Send us your customer feedback in whatever form it arrives—CSAT and NPS surveys, online reviews, social, complaints, contact-centre messages. CSV to start, an API when you're ready.
Let the themes emerge
Our AI extracts the topics that are actually in the text—including the ones you'd never have thought to set up—and tracks each one over time. No taxonomy to build first.
Deliver where decisions happen
Themed insight lands in Microsoft Power BI, filtered to store, region and category level—so trading, marketing and CX teams see the same picture as the insight team and can act on it.
How Sainsbury's turned 4.5 million customer voices into proactive decisions
Sainsbury's CSAT & Customer Closeness team hears 4.5 million customer voices a year, across surveys, social and complaints. By letting themes emerge instead of forcing predefined categories, they moved from reactive reporting to anticipating what customers need next—saving 11,200 working days and £2m in labour costs along the way.
Sainsbury's handles more than two million CSAT survey responses a year, plus social and hundreds of thousands of complaints and contact-centre messages, across 1,400-plus stores. Their previous tools needed predefined categories and kept feedback in silos, so emerging themes went unseen and most qualitative comment went unused. The hard part was never collecting feedback—it was finding the signal in it.
With themes emerging on their own and tracked over time, the team could see which were moving a score and act—adjusting strategy, marketing and service before issues escalated. Customers' own words started shaping internal communications and decisions, at the scale of a £36bn business, instead of being read in samples.
When the board asks what's moving the score, you can show them—in your customers' own words, down to the store.
What retail teams say
Sainsbury's, M&S, B&Q, Whittard and Tommee Tippee use Wordnerds to make sense of retail customer feedback.
"Wordnerds has allowed us to explain what is going on behind the robust quant data we have, and explain how customers are talking about it."
— Kat Eastwood, CSAT & Customer Closeness, Sainsbury's
"Wordnerds collates customer feedback from multiple sources into one platform and identifies key themes. It's saved me time and helped us understand how to retain customers."
— Nicole Curtis-Loy, Retention Manager, Whittard
Built for retail—and the sectors you'd expect from a serious VoC platform
Retail is one of the worlds we go deep in, but Wordnerds works across housing, transport and travel & hospitality too. A general Voice of Customer platform—retail is the depth here, not the limit.
Frequently asked questions
What is Wordnerds?
Wordnerds is a UK Voice of Customer platform. It analyses customer feedback from surveys, complaints, reviews and calls using transparent, explainable AI, then delivers the insight into Microsoft Power BI where teams already work—so the whole organisation can act on what customers say, not just the insight team.
Can Wordnerds find emerging themes in our feedback without predefined categories?
Yes—that's the point. We extract organic topics straight from open-ended responses, so emerging issues like a cost-of-living shift in shopping behaviour surface before anyone configured a category for them. There's no taxonomy to build first, and you can always read the comments behind every theme.
Can you handle feedback from every channel—surveys, reviews, social, complaints and the contact centre?
Yes. We pull together CSAT and NPS surveys, online reviews, social, complaints and contact-centre messages into one analysis-ready stream, themed the same way. You get a single comparable view of customer sentiment across every touchpoint, instead of the same theme counted differently in five separate systems.
We already use Qualtrics, Medallia or Forsta—why do we need Wordnerds?
Wordnerds works alongside them. Survey platforms are excellent at collecting responses; we're the specialist layer that makes sense of the open-ended text they gather—plus your reviews, social and complaints—and delivers the themed insight into Power BI. We unlock the feedback you already collect rather than replacing your survey tool.
Can't we just use ChatGPT or Copilot to read our customer comments?
A general LLM can summarise a sample, but it classifies differently every time it runs, can't track a theme's movement over time, can't unify every channel, and leaves no audit of the comments behind a theme. We do all four reliably, at the scale of millions of comments a year.
Can we drill down to store, region, format or category level?
Yes. Themes and sentiment can be broken down by store, region, format, product category, own-brand line and channel—online versus in-store—so you can see exactly which part of the business is moving a score. It's all delivered into Power BI where your teams already work.
Is our customer data stored securely in the UK?
Yes. We offer UK data residency and hold Cyber Essentials Plus. Our processing is transparent rather than a black box, and we don't train external AI models on your customer data. GDPR-compliant as standard.
How long does implementation take for a retailer?
Usually a few weeks from connection to live insight. Your existing survey, review and contact-centre feeds connect quickly, and because the themes emerge on their own there's no long taxonomy-building phase before you see value. The diagnostic session at the start scopes what's needed for your specific data sources.
Can't we just build this ourselves?
You could—but it means unifying data from surveys, reviews, social, complaints and the contact centre in different formats, building explainable theme extraction that surfaces emerging topics, maintaining store, region and category dashboards in Power BI, and keeping it all running as your business changes. We've built that for retailers like Sainsbury's already, so most teams find it faster and cheaper to use what's there than to staff it from scratch.
Can we export our data, or are we locked in?
You can export it. Wordnerds takes an open-data approach—your themed insight flows straight into Microsoft Power BI, where your teams already work, and the structured output is yours. There's no walled garden you have to log into to see your own customers' feedback, and no lock-in if you change your wider stack.
