SpeqForgeDiscover your real user segments from your actual feedback data.
Stop building for invented personas. SpeqForge identifies distinct user segments in your feedback corpus, with named profiles, pain points, goals, and representative quotes from real users.
Example persona profiles
- ·Too many Jira tickets without context
- ·Writing specs takes hours they don't have
- ·Stakeholders change priorities mid-sprint
Sprint planning chaos: PMs lose 3+ hours to spec-writing every two weeks and still miss context
"We already have Jira. Does this add another tool my team has to check every day?"
Standup → write specs → review designs → sprint retro → repeat. Every day, same order.
- ·Relies on gut feel because synthesis takes too long
- ·App store reviews are goldmines but too noisy
- ·Investors want evidence-backed priorities
Investor asks for evidence-backed roadmap priorities; founder realises they're working on gut feel
"I'm worried about setup time. I can't spend a week configuring another platform."
Customer call → support inbox → ship a feature → update investor memo, all in one afternoon.
- ·Vague tickets without acceptance criteria
- ·Scope creep from poorly defined features
- ·Back-and-forth with PM adds delays
Sprint derails because PM's spec had no acceptance criteria and engineering spent 3 days in back-and-forth
"Will the output become real tickets my team can work from, or do we get another standalone dashboard?"
Morning: review open PRs. Afternoon: answer PM questions about scope. Evening: write documentation.
How it works
Upload your feedback corpus
Provide your full set of feedback: support tickets, reviews, interview notes. The more you give it, the more distinct the segments.
Smart user segmentation
Clusters your users into distinct personas based on language patterns, pain points, and behaviour signals in the feedback.
Receive validated persona profiles
Each persona comes with a name, description, top pain points, what they value, and representative quotes from your real users.
What's in every persona
Complete profiles you can use in sprint planning, design reviews, and investor decks.
Personas are derived from your actual feedback, not generic market research templates.
Each segment gets a name, role, and narrative, ready to share with designers and stakeholders.
Top 3 pain points per persona, drawn directly from the language your users used.
What each segment is ultimately trying to achieve, which is useful for prioritisation and copywriting.
Which features resonate most with each persona, so you can tailor your roadmap.
Relative frequency of each persona in your data so you know which to prioritise.
Before vs. after
Where this fits in your workflow
From raw text to validated persona in 4 steps
No pre-tagging, no templates. Segments emerge from your data.
Raw feedback ingested
142 items across Zendesk, App Store, and Intercom, all plain text, no pre-tagging required
Language clustering
Groups items by vocabulary, sentence patterns, and pain-point framing, not by metadata or source
Behavioural signal weighting
Frequency, recency, and emotional intensity are weighted to separate power users from occasional ones
Persona synthesis
Each cluster becomes a named profile with role, pains, goals, triggers, objections, and representative quotes
Which features resonate with which segment
Relevance score 1–5 derived from each segment's language patterns.
| Feature | The Overwhelmed PM | The Data-Driven Founder | The Engineering Lead |
|---|---|---|---|
| AI spec generation | |||
| Feedback analysis | |||
| Competitor research | |||
| Weekly digests |
Why it matters
A persona you invented will tell you what you already believe. A persona clustered out of 142 real feedback items will tell you what your users actually said, and every trait on the card traces back to a quote you can read.
Frequently asked questions
What if my feedback corpus is too small for meaningful segments?
As few as 50 feedback items can produce 2–3 meaningful segments. Below 20 items, the analysis will still run but the segments may overlap. We recommend 100 or more items for the most distinct and reliable results.
Are the persona names generated automatically or do I name them?
SpeqForge generates descriptive names based on the patterns it finds, for example "The Overwhelmed PM" or "The Data-Driven Founder". You can rename any persona after generation; the underlying data and quotes stay attached to whichever name you give it.
How is this different from just looking at who sends the most support tickets?
Volume alone misses the signal. SpeqForge weights frequency, emotional intensity, and topic variety to separate segments. A small cluster of users who each write one very specific, high-stakes complaint may represent a high-value segment even if they are only 5% of your feedback volume. Ticket count alone would bury them.
Can I see which features matter most to each persona?
Yes. Every persona profile includes a feature preference ranking drawn from the language in that segment's feedback. You can also view the segment-to-feature matrix to see which of your existing or planned features have the highest relevance to each group, which directly informs roadmap sequencing.
Build for users who actually exist.
Validate your personas against real user feedback in minutes. Free to start.
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