Tech Tuesday: Customer Reviews

Tech Tuesday: Turning Customer Reviews into Actionable Data

It’s 2:40 PM. The lunch rush is over. You scroll through reviews—“great flavor,” “slow service,” “a bit salty.” You’ve seen these before. The challenge is turning scattered comments into something you can act on.

Technical Deep Dive

Customer reviews are unstructured text. That means they don’t come in neat columns like a spreadsheet. To make them useful, you convert them into categories.

A simple method looks like this:


Reviews = ["too salty", "great flavor", "slow service"]

Categories = {
  "Taste": ["salty", "flavor", "bland"],
  "Speed": ["slow", "fast", "wait"],
  "Portion": ["small", "large"]
}

For each review:
  For each category:
    If keyword appears:
      Count += 1
  

After processing a batch of reviews, you get counts like:

  • Taste: 15 mentions
  • Speed: 9 mentions
  • Portion: 3 mentions

Now the feedback is measurable. You can see where attention is needed.

Food / Kitchen Analogy

Think of this like sorting ingredients after a grocery trip.

You don’t leave everything in the bag. You group items:

  • Refrigerated items together
  • Pantry goods together
  • Spices in one place

Reviews work the same way. When grouped, they become easier to use.

Practical Food Connection

You can apply this approach quickly in a real kitchen:

  1. Collect 10–20 recent reviews or comments
  2. Paste them into AI
  3. Ask: “Group these into common themes”
  4. Ask: “Which theme appears most often?”

From there, you can act:

  • If “slow service” appears often → adjust staffing or workflow
  • If “too salty” shows up repeatedly → adjust seasoning
  • If “small portions” appears → review plating consistency

This works at home too. Family feedback can be grouped the same way.

Next Actions

Customer reviews already contain the answers. They just need structure.  Once feedback is grouped and counted, decisions become clearer and faster.  Start with a small batch of reviews, organize them, and take one action. Over time, those small adjustments build a stronger kitchen.

Start simple:  don't be afraid to use hard-copy data to get started.  This is a technical process, but that doesn't mean you have to use deep computer science to get it done.  If you do have someone who can handle the programming, that may help--but it will only help if you understand the process completely first.

Get started.  Use a programmer, AI, or 3x5 cards if you have to.  The tool doesn't matter--only the results.


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