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Research & Intelligence

User Persona Builder

Synthesizes qualitative and quantitative research into structured user personas with goals, behaviors, pain points, and jobs-to-be-done. Useful for product and marketing teams aligning on target users. Product managers scoping features, UX designers framing user flows, marketing leads shaping positioning, sales leaders training account reps, founders aligning the team on who they are building for. They either end up as marketing fiction ("Sarah, 34, drinks oat milk lattes") or they get buried in a deck that nobody reads. A good persona is concise, evidence-backed, distinct from adjacent personas, and answers the "what decisions does this change?" question. A structured builder takes whatever raw research is available and produces personas that are useful in design review, sales training, and copy decisions.

Nexus CertifiedClaude CodeCodexOpenClawGoogle Antigravity
productpersonasresearchuxsegmentation

One-Time Purchase

$19.99

Sample Output

User Personas — Meridian Analytics

Product: Meridian Analytics — self-serve analytics platform for product teams Research base: 22 customer interviews, 180-response survey, the past 90 days of support tickets, website analytics. Intended audience: Product, marketing, sales Methodology: Behavioral clustering on usage data, validated against interview themes; jobs-to-be-done extracted from interview transcripts and ticket text.


Summary

Headline

Two personas account for ~83% of monthly active accounts and almost all of revenue. The Primary persona — an embedded data analyst on a product team — drives most expansion. The Secondary persona — a product manager who never logs into the analytics tool but consumes its output — is the buyer in roughly 4 out of 5 mid-market deals. A long tail of occasional users (executives, designers) was excluded because no product or copy decision changes when we account for them.

PersonaRole in buying cycleProduct implication
Priya — Embedded Data AnalystHands-on userOnboarding must reach value quickly
Marcus — Product ManagerEconomic buyerCopy must build trust in data quality
Long-tail usersExcludedAvoid designing for edge-case visitors

Persona Comparison

Primary Persona

Priya — Embedded Data Analyst

The hands-on user. Drives expansion.

Share of monthly active accounts52%
Share of weekly query volume74%
Login frequencyDaily
Median tenure on the platform3.4 yrs
$48KMedian ACV in their accounts

Secondary Persona

Marcus — Product Manager

The consumer. Usually the buyer.

Share of monthly active accounts31%
Share of weekly query volume11%
Login frequency (mostly dashboard views)Weekly
Median tenure on the platform2.1 yrs
$62KMedian ACV in their accounts

Primary Persona — Priya, Embedded Data Analyst

Goals (in priority order)

Answer product-team questions in hours, not days1
Build dashboards that don't need maintenance after the launch2
Stop being a SQL middleman for the PMs she works with3
Have one trusted definition of every core metric4

Pains

Metric definitions drift between teams; she's the de-facto refereeTop
Existing tools force her to choose between SQL flexibility and self-serveHigh
PMs ping her for ad-hoc queries that should be self-serviceableHigh
Onboarding new analysts takes weeks because of tribal knowledgeMedium

Jobs to be done

"When a PM asks a question, I want a fast way to answer it without rebuilding context."JTBD-1
"When I publish a dashboard, I want stakeholders to self-serve from it without breaking it."JTBD-2
"When a metric is disputed, I want a single canonical definition to point to."JTBD-3

In her words

"My job got 40% better the day I could send the PM a link instead of a CSV."

Recommended positioning for Priya

Lead with the metric-layer story and the SQL-or-self-serve false choice. Priya doesn't need her tool sold to her — she needs ammunition for the conversation with her PMs and her manager. Marketing should produce one-page "send this to your PM" assets she can forward without editing.


Secondary Persona — Marcus, Product Manager

Goals

Make confident decisions without waiting on an analyst1
Defend roadmap calls in exec review with data2
See user behavior changes within a week of a launch3
Avoid the "different number in every deck" problem4

Pains

Doesn't trust dashboards he didn't help buildTop
Numbers in two decks disagree; he's the one who notices in exec reviewHigh
Doesn't know SQL; lightly resents needing to ask the analystMedium
Wants to share findings with stakeholders without becoming their middlemanMedium

Jobs to be done

"When I'm in exec review, I want one number per metric I can defend."JTBD-1
"When I ship a feature, I want to see adoption without asking anyone."JTBD-2
"When I take a number into a deck, I want everyone else to see the same number."JTBD-3

In his words

"I'm not trying to be an analyst. I just want to stop being wrong in front of the CEO."

Recommended positioning for Marcus

Lead with trust, not capability. Marcus doesn't want a more powerful tool; he wants to be confident the number is right. Marketing should emphasize metric governance, audit trails, and "the analyst signed off on this." Product should focus on the dashboard consumption experience — annotations, shareable views, comment threads — over query authoring.


Personas We Considered and Dropped

Why not include execs and designers?

Both groups appear in the data but neither changes any product or copy decision. Executives consume dashboards through Slack and email, not the product. Designers occasionally view dashboards but don't expand or churn accounts. Including them would dilute the focus on the two personas that actually drive growth.


What This Changes

Decisions this persona doc should drive

  • Onboarding flow splits into Analyst track and PM track in the first signup step
  • Pricing page hero copy speaks to Priya's pain; the second scroll speaks to Marcus's trust concern
  • Sales discovery questions reordered to identify which persona is the economic buyer in the first call
  • Roadmap quarterly review reviews each major initiative against both personas explicitly

This sample illustrates the skill's output format. Meridian Analytics is a fictional company used recurringly across these sample outputs. Real customer data and research findings are never included in sample outputs.

View full sample →

All sales final. No refunds on digital products.

Includes support for Claude Code, Codex, OpenClaw, and Google Antigravity in the same license.

Also in Customer & Product

Bundle price: $33. Compare this skill with the full workflow bundle or Pro access.

Best for

Product managers and UX designers framing a new feature where the team keeps disagreeing on who the user is, and founders aligning sales, marketing, and product on the same ICP narrative. Most useful when there is real research input — interview transcripts, support tickets, segmented usage data — to ground the personas in evidence.

Not ideal for

Personas built from no research at all — the output becomes marketing fiction (‘Sarah, 34, drinks oat milk lattes’) that nobody trusts or uses. Also a poor fit for highly fragmented audiences with dozens of micro-segments where personas flatten too much variance to drive useful decisions.

Included in this purchase

  • Claude Code, Codex, OpenClaw, and Google Antigravity skill files.
  • Setup guidance for the right adapter in your workspace.
  • One-time license for the purchased skill version.

Setup

Plan for a short copy-and-configure setup in your preferred agent workspace. No custom integration is required for the skill file itself.

Claude CodeCodexOpenClawGoogle Antigravity

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Future Updates

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