Find the pain points your customers never put in a ticket
Your customers describe their frustrations to strangers on Reddit long before they tell you. Capture that voice-of-customer signal and rank it by how much it hurts.
The problem
Support tickets only capture the problems people bother to report — usually the small, fixable ones. The deep frustrations get vented elsewhere.
Sales calls are filtered through a buying motion, and interviews are filtered through politeness. The unguarded truth lives in public threads.
But "go read Reddit" is not a research method. Without structure you drown in anecdotes and mistake the loudest thread for the most common problem.
How it works
- 1
Frame the need
Describe the customer and problem area as a claim you want to test against real talk.
- 2
Gather the voice
We pull the threads where that customer vents, asks for help, and compares options.
- 3
AI classifies each one
Each thread is scored for pain intensity and tagged with the underlying unmet need.
- 4
Rank the real problems
A report surfaces the most acute, most repeated pain points — not just the loudest single post.
What the report looks like
Each thread is scored for pain intensity and tagged with the unmet need behind it, then the report rolls them up so a widely-shared problem outranks a single loud rant.
Willingness-to-pay split across the set
- high — 18%
- medium — 34%
- low — 29%
- none — 19%
Illustrative example
A representative run — not a measured result — to show the shape of the output.
“Customers of mid-market analytics tools are frustrated by data-export limits.”
Export and integration gaps recur across dozens of threads with high pain scores, while the loudest single post — a pricing rant — turns out to be an outlier the ranking correctly demotes.
Takeaway. The roadmap signal is the recurring export pain, not the one viral complaint.
Why it works
Beyond the ticket queue
See the frustrations that never reach support because customers assume nothing can be done.
Severity, not volume
Rank pain by how much it actually hurts, so you fix what matters instead of what is merely loud.
Evidence for the roadmap
Walk into prioritization with linked, quotable evidence instead of "I think users want."
Repeatable signal
Re-run the same claim each quarter to watch whether a pain point is growing or fading.
Under the hood
Severity over volume
Ranking weights how often a pain recurs across threads, so pain_signal × frequency beats a single high-upvote rant.
Quotes you can paste
Every scored thread keeps its key_quotes and a link back to the source, ready to drop into a prioritization doc.
Cheap to re-run
A pass costs ~$0.13–0.40 and is resumable, so re-checking whether a pain is growing each quarter is nearly free.
Frequently asked questions
What counts as a pain point here?
Any recurring friction, unmet need, or workaround that people describe with frustration. Each is scored for intensity so you can rank them.
Is this voice-of-customer research?
Yes — it captures unprompted, in-the-wild customer language at a scale interviews cannot reach, then structures it into a report.
Will it just surface the angriest posts?
No. Ranking accounts for how often a pain recurs across threads, so a single rant cannot outweigh a widely shared problem.
Can I focus on a specific product area?
Yes. You scope the claim and the subreddits, so you can zero in on onboarding, pricing, a feature gap, or a competitor.
Do I get links to the original threads?
Every scored item links back to the source discussion so you can read the full context and quote it directly.
Keep reading
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Test a SaaS or startup idea against real demand before you build.
Read →See what people really say about your competitors
Track how buyers really compare tools and why they switch.
Read →Reddit research: using Reddit as a serious research source
A founder spends a weekend reading 300 threads in three subreddits and walks away knowing exactly how customers describe their problem. This is the guide to doing that on purpose, without fooling yourself.
Read →Reddit sentiment analysis: measuring how people actually feel
You search your brand on Reddit and see a wall of mixed opinions, sarcasm, and inside jokes. Sentiment analysis turns that mess into a defensible read on how people actually feel — and Reddit makes it unusually hard.
Read →How we score a thread for pain and willingness to pay
The exact schema that turns a messy Reddit thread into a rankable pain and willingness-to-pay score.
Read →Methodology
Exactly how a claim becomes a ranked, sourced report.
Read →