Product Discovery · Product-Market Fit (PMF)
Stop shipping on a hunch.
Product Discovery turns customer conversations into clear product-market fit evidence, the Sean Ellis test, MVP signals, and themes, then turns that evidence into your next sprint.
Study · Flowline CRM
01 · Listen
Voices from real customers
M
Maya · PM @ Fintech
“Our roadmap is pure opinion. We ship and hope.”
R
Ravi · Founder
“I wish I could see churn reasons without 30 tools.”
J
Jules · Head of Product
“We export to CSV, re-tag by hand, then paste into Notion.”
P
Priya · Design Lead
“The last time planning felt this fast was a whiteboard.”
Why Product Discovery
Most teams build.
The best ones learn first.
The default
Build. Launch. Guess why.
5 tools
research in CRM, forms, docs, sheets, chat
0 bridge
insight to sprint is manual
With Product Discovery
Learn. Validate. Then ship.
1 tool
research, plan, sprint
10 steps
structured path to a PMF decision
01 · Listen
Every customer word,
sorted automatically.
Upload interviews or sync from your meeting tool. AI classifies every quote into five signal types so you see what your customers actually need, not what you hoped they'd say.
Raw evidence
M
“Our roadmap is pure opinion. We ship and hope.”
pain point
R
“I wish I could see churn reasons without 30 tools.”
unmet need
J
“We export to CSV, re-tag by hand, then paste into Notion.”
workaround
P
“The last time planning felt this fast was a whiteboard.”
delight
A
“Give me auto-generated MVP signals and themes from interview notes.”
feature request
Classified · last 30 days
pain point18
unmet need14
workaround9
feature request7
delight3
02 · Measure
Fit, quantified.
The Signals & Scoring tab runs Sean Ellis' 40% “very disappointed” rule, scores MVP signals from 0 to 100% with critical, high, and medium levels, rates theme strength, and rates competitive moat strength. One board your CEO, your investors, and your team can agree on.
Sean Ellis Test
PMF reached46.4%
very disappointed
40% PMF
0%Benchmarked vs the 40% rule100%
Retention D1
78%
MAU
3,200
LTV / CAC
5.7
AI PMF Assessment Report
MVP Signals
5Enterprise-grade security
90% · critical
Themes
4Founder-led sales transition
85% strength
Hypotheses
4IF / THEN / BECAUSE, tied to evidence
MOAT Strength
Switching costs + network effects
Moderate
The deliverable
The report your team actually gets.
Every study ends in a Review board: completeness tracker, top signals and themes, an AI-generated PMF assessment, and one click to turn it all into a project plan.
nexusync.io / discovery / study / review
Review tab
Study
Flowline CRM, How Seed/Series A Startups Choose Their CRM
14 participants·7/18 interviews·4 insights·5 MVP signals·4 themes
Progress
45%
Research outcomes
7 of 11 research steps complete
Participants
Interviews
Observations
Evidence
Metrics
Market Research
MVP Signals
Themes
Hypotheses
Sean Ellis
MOAT
Top MVP signals
5
Enterprise-grade security
90% · critical
Pipeline & deal tracking
85% · high
Email & calendar sync
80% · high
Lightweight setup & onboarding
75% · high
Usage-based, founder-friendly pricing
70% · medium
Top themes
4
Founder-led sales transition
85% strength
Integration with the existing stack
80% strength
Cost efficiency and scalability
75% strength
Aversion to feature bloat
70% strength
PMF Assessment Report
AI synthesises all research into a comprehensive PMF assessment with executive summary, GO/NO-GO, risks, and next steps.
Generate
Begin plan generation
Creates a research-backed brief for the AI Agent to turn into your project plan.
4 themes5 signals4 hypotheses
Generate plan →
03 · Build
Research becomes the plan.
The Plan Bridge converts signals, themes, and hypotheses into themes, epics, and stories with acceptance criteria, ready for Prism to execute.
Research
pain point
Onboarding friction blocks activation
unmet need
No single view of churn signals
feature request
Auto-generated MVP signals and themes from interviews
Research-backed brief → AI Agent plan
BRIEF · Product vision
who, what, why, grounded in evidence
BRIEF · Target users & jobs
segments, top pains, unmet needs
BRIEF · Acceptance criteria
what ‘done’ looks like + out-of-scope
The method
Rigorous research, every chapter covered.
01Overview
Study setup & objectives
Frame the research question, target segments, and goals, then track timeline and completion as the study runs.
02Participants
Recruit & segment
Import from your CRM or add people manually, tag segments, and manage consent and outreach in one place.
03Interviews
Interviews & observations
Record on your meeting platform of choice. Transcripts land, AI summarises, quotes are extracted into Evidence automatically.
04Evidence
Proof, linked
Documents, video, audio, and extracted quotes are captured as evidence and linked to the signals and themes they support.
05Observations
Field notes & signals
Capture behavioural observations from sessions as structured, taggable notes that feed analysis.
06Metrics
Quantitative context
Retention, MAU, LTV/CAC, and growth numbers ground the qualitative findings in real product data.
07Market Research
Competitors & moat
Map competitors, market size, and differentiation to pressure-test demand before you build.
08Analysis
MVP signals & themes
Every piece of evidence is classified into MVP signals, then clustered into themes scored by strength and sentiment.
09Signals & Scoring
Sean Ellis & hypotheses
Run the 40% very disappointed test, write IF / THEN / BECAUSE hypotheses tied to evidence, and rate competitive moat strength from switching costs and network effects.
10Review
Research Outcomes
An 11 of 11 completeness ring tracks every research step, then an AI PMF Assessment Report summarises the verdict.
11Plan Bridge
Research becomes the plan
Research is packaged into a brief (product vision, target users, acceptance criteria, out of scope) that feeds the AI Agent to generate your project plan.
Plugs into everything
The research you already do,
just finally connected.
just finally connected.
HubSpotSalesforcePipedriveZoomGoogle MeetMicrosoft TeamsCisco WebexSlackMixpanelPostHogSegmentTypeformGoogle Forms
Build what customers actually want.
Run your first study today. Ship your first evidence-backed sprint this week.