Get through every comment. Stand behind every finding.
When leadership asks "so what?", you're the one who answers. You shouldn't have to choose between getting through all the feedback and being able to defend what you found in it.
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.
Spending more time managing the data than analysing it?
Most CX analysts spend the week hand-coding thousands of comments in spreadsheets, then watch a generic AI tool turn the same job into confident nonsense. You're caught between work that doesn't scale and an output you can't defend, while leadership keeps asking what the feedback is actually telling them.
You know the feeling. Someone on the team tags comments one row at a time for what feels like forever, and the backlog still grows faster than you can clear it.
So you tried the obvious shortcut: ChatGPT, Copilot, the AI feature built into your survey tool. It handed back confident summaries that fell apart the moment anyone checked them ("complete nonsense", as one analyst put it), and left a quieter worry underneath: if the AI gets it wrong and you reported it, who's liable?
That's the real bind. You're not afraid AI will replace you. You're afraid you'll be blamed for what it misses, while you're still drowning in work that can't be done by hand. Either way, when leadership asks what customers are really saying, you're the one who has to answer.
If the AI gets it wrong, who's liable?
You stay accountable for the analysis, so Wordnerds makes it defensible. Automated, sector-tuned models theme every comment, and each theme traces back to the exact words behind it. The question was never "AI or not". It's which layer you apply AI at. Apply it to a structured model, and the output is auditable, not a guess.
Point a generic LLM at raw feedback and it guesses: it can't count reliably, can't show its sources, and draws the category lines differently every run. That's the black box you can't defend in a board meeting.
Wordnerds works one layer down. Trained models, tuned to your subjects rather than general-purpose, classify every comment consistently, and your analysts shape the definitions so the categories mean what your organisation needs them to mean. Quality control, on top of the automation. The result is insight you can audit: every theme traceable, every count real, the same category meaning the same thing in January and December.
That's what lets you show your working to leadership, the board, or a regulator, instead of asking them to trust a number you can't explain. (Want the full architecture? It's on the Software page.)
What changes when you stop tagging by hand?
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Get your time back
The manual tagging is automated, so the hours you spent coding rows go back into your week. You're freed to do the interpretation you were hired for: the thinking, not the typing.
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See every voice, in one place
Surveys, complaints, reviews, calls and social are themed together and delivered into Microsoft Power BI. You get the complete picture where your teams already work, not the fragment you had time to read.
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Walk in with the receipts
Every theme traces back to the comments behind it. You can answer both "so what?" and "how do you know?" with evidence, so your findings hold up the moment they're questioned.
How does it work for an analyst?
Three steps. This is the shape. The full method lives on the Software page.
Consolidate every source
We bring surveys, complaints, reviews, calls and social into one place, so you stop stitching exports together by hand.
Classify it automatically
Sector-tuned models classify and score every comment automatically and consistently, so the analysis finally keeps pace with the feedback.
Share insight teams trust
Traceable insight lands in Power BI where your teams already work, so you present answers, not spreadsheets.
What does it look like when an analyst stops drowning?
At BPHA, senior analysts spent around 160 hours a month coding feedback by hand and still got through only one comment in five. With Wordnerds the team now analyses 100% of it on day one, freeing those hours for the interpretation that actually moves decisions.
For years, BPHA's quarterly report was already three months out of date the day it landed. The senior analysts behind it spent the equivalent of a full working month, every month, tagging comments one by one, and even then four in five were never read.
Now the manual coding is gone. Every comment is themed on the day it arrives, and the analysts spend their time on the why behind the numbers, not the tagging underneath them.
Three months from now, when your director asks why satisfaction moved, you'll have the answer, and the evidence behind it, before the meeting starts.
Frequently asked questions
What is Wordnerds?
Wordnerds turns what customers say into what organisations do. It applies AI-powered analysis to feedback from surveys, complaints, reviews and calls, then delivers themed, traceable insight into Microsoft Power BI—so everyone in the organisation can act on what customers are saying, not just the insight team.
If the AI gets it wrong, who's liable?
You stay accountable for your analysis, so we make it defensible. Every theme comes from transparent, sector-tuned models and traces back to the exact comments behind it. You can show your working to leadership, the board or a regulator, rather than trusting a black box you can't explain.
Can I just use ChatGPT or Copilot to analyse customer feedback?
You can, until someone checks the numbers. Generic LLMs can't reliably count, can't show their sources, and recategorise differently on every run, so you can't compare this month to last or defend a figure. We apply AI at the structured layer instead, so the output stays consistent and auditable.
Will Wordnerds replace my job?
No. It removes the part of the job you'd happily lose. We automate the manual tagging so you spend your time on interpretation, narrative and the "so what?" leadership actually wants. The analysis gets faster; the thinking stays yours.
Can Wordnerds compare this month's themes to last month's?
Yes. Your themes are defined once and applied consistently, so the same category means the same thing in January and December. You can track a trend across periods and trust the movement. General AI tools structurally can't do that, because they recategorise from scratch every run.
Can Wordnerds handle all our feedback sources?
Yes. We bring surveys, complaints, reviews, calls and social into one classified model, so you stop analysing each channel in a different tool. Every voice is themed the same way and sits in one place: the complete picture, not the fragment you had time to read.
