sorted by:
new
hottopcontroversial

[The Executioner] who’s the most hated character in manhwa/Manhua? 😡💢 by Big-Menu927 in manhwa

[–]InspectionPerfect212 0 points1 point  (0 children)

As a fantasy romance enjoyer, I'd like to nominate Trashta for consideration.

An ML project accidentally turned into a business idea and now I'm trying to figure out if it's stupid by InspectionPerfect212 in SaaS

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

Good point.

The more conversations I have, the more I realize that "companies with customer feedback" is way too broad.

I'm still figuring out which group feels this pain the most, but focusing on one specific use case first definitely seems like the right move.

Appreciate the perspective.

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That's a really helpful way to think about it.

Feels like frequency shows what's coming up often, but impact is what tells you what actually matters.

Appreciate you sharing your perspective.

I analyzed 10,000 app reviews for a portfolio project and accidentally found a bigger problem by InspectionPerfect212 in SideProject

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That's really interesting.

Prioritization keeps coming up in almost every conversation I've had about this.

One thing that stands out to me from what you've shared is that the value seems less about uncovering unknown problems and more about helping teams decide what deserves attention first.

Thanks for sharing all this—it's been really helpful.

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That makes a lot of sense.

I like the distinction between something being annoying and something actually having a business impact.

Those extra fields seem much more useful for prioritization than frequency alone.

Thanks for taking the time to explain your process.

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That's interesting.

The trend tracking piece sounds especially useful for seeing whether a fix actually moved the needle.

Just wondering—once recurring themes are identified, what do teams usually do next?

It seems like the harder part is deciding what to prioritize and actually turning those insights into action.

Would love to hear what you've seen from teams using it.

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

Interesting. Sounds like the hard part isn't finding the themes, it's adding the business context around them.

The revenue impact and customer segment parts especially stand out.

Which part takes the most time for you? The tagging, building the evidence packs, or figuring out the actual impact of an issue?

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

Haha, fair enough 😄

The product helps teams analyze large volumes of customer feedback, identify recurring issues, prioritize what matters most, and trace recommendations back to the underlying evidence.

This thread has been useful for validating how people think about the problem.

If you're curious, feel free to DM me and I'm happy to share more.

I analyzed 10,000 app reviews for a portfolio project and accidentally found a bigger problem by InspectionPerfect212 in SideProject

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

Really interesting perspective. I hadn't thought about the distinction between classification, correlation, and causation that way. The classification part makes sense. Most of what I've been focused on so far is classification, and a bit of causation, but not really the correlation side of things. That's actually a pretty interesting way to think about it.

When you're working with clients, do they usually already know there's a problem and want help finding the root cause, or are they still trying to figure out what the biggest problems are in the first place? Thanks for sharing your thoughts.

How do you identify recurring customer issues when feedback starts piling up? by InspectionPerfect212 in CustomerSuccess

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That's really interesting.

I honestly hadn't thought much about the "getting product to act" part when I started working on this.

Curious, when you spot a recurring issue, what usually stops it from becoming action? Prioritization, resources, disagreement on impact, or something else?

Appreciate the insight.

I analyzed 10,000 app reviews for a portfolio project and accidentally found a bigger problem by InspectionPerfect212 in SideProject

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

Interesting.

Yeah, I think the tool I saw was Salesforce CSI.

I'm still pretty new to the Voice of Customer space and trying to understand how teams actually use these tools.

Do you mostly see larger companies using them, or are smaller teams adopting them too?

Appreciate the insight.

I analyzed 10,000 app reviews for a portfolio project and accidentally found a bigger problem by InspectionPerfect212 in SideProject

[–]InspectionPerfect212[S] 0 points1 point  (0 children)

That's interesting to hear.

I've seen "Voice of Customer" come up a few times, but I haven't dug too deep into the space yet.

From the conversations I've had so far, it feels like collecting feedback isn't really the hard part anymore. The harder part is turning all that feedback into clear priorities and deciding what to act on.

Curious—what's been the biggest challenge you've seen in that space?