Generate source-matched search queries
Each support-forum type uses different search syntax and complaint language — the tool builds queries matched to how issues surface there.
Free MVP competitive-research tool
Support Forum Insight Miner
Generate search queries and workaround-phrase signals to identify product problems and manual workarounds from public support discussions.
- Calculated instantly from your inputs
- No signup or data submission
- A focused next step for MVP planning
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Find what competitors' users are struggling with
Enter the competitor name, product category, and the type of support forum to search.
Your calculated result
Your result
0/100
Planning score
Recommended next actions
How it works
Tag workaround phrases
Phrases like "had to" or "switched to" reveal manual patches users built themselves — often a direct signal for a feature to build.
Log unresolved threads
The oldest unresolved complaints indicate a problem the competitor has chosen not to fix, which is a stronger opportunity than a recently reported bug.
Frequently asked questions
Does this tool read support forums automatically?
No — it generates targeted search queries and a tagging framework. You read the actual threads, which also builds real product intuition about the competitor's users.
Why focus on workarounds instead of just complaints?
A workaround shows exactly what a user needs and what solution shape would satisfy them — it is more actionable than a general complaint.
What is the strongest signal to look for?
Long-unresolved threads combined with "switched to" or "dropped it" language — that combination indicates both a real gap and active churn you can capture.
Can I use this to research my own product's support forum?
Yes — running the same queries against your own product name reveals unaddressed complaints from your existing users.
How many threads should I read before drawing conclusions?
Aim for at least 15-20 threads per query and confirm any pattern appears across 3+ independent threads before treating it as validated.
How we compare
| Capability | MVPHub | G2 review reading | Generic AI chat assistant |
|---|---|---|---|
| Support-forum-type-matched search queries | ✓ | × | — |
| Workaround-phrase tagging framework | ✓ | × | × |
| Structured review comparison and ratings | × | ✓ | × |
| Free, no signup required | ✓ | ✓ | — |
MVPHub generates targeted queries and a workaround-tagging framework for any support-forum type. Manually reading G2 reviews gives structured pros/cons but only for reviewed products; a general AI assistant can suggest queries but cannot read live forum content.