1
Software is faster to produce
AI tools reduce the time and cost of creating prototypes, features, and complete product experiences.
Validate the bet before AI builds it
LeanNav helps teams test risky product assumptions before they spend engineering time – using structured discovery and evidence scoring to decide whether to build, pivot, or stop.
Assumption-first
Evidence-grounded
Decision-focused
MVP in productionCore validation workflow is live.
Paid pilot live€5K customer engagement underway.
500+ teams reachableVia the Lean Startup Co ecosystem.
1-week cycleDesigned for decisions before build.
Validation is the new bottleneck
AI has compressed the time and cost required to build software. Deciding what is worth building remains slow, manual, and inconsistent.
2
Product decisions are still slow
Teams still struggle to validate assumptions before sprint planning, pilot commitments, or roadmap decisions.
3
Wrong bets become easier to ship
When building is faster, weak validation turns into wasted engineering and product investment faster too.
Teams ship faster than they validate
The information needed to make a sound product decision exists, but it is difficult to access, inconsistent in quality, and fragmented across the organisation.
1
Customer access is slow
Teams often cannot reach the right customers quickly enough to validate product decisions before work begins.
2
Discovery quality is inconsistent
Good discovery requires skill. Teams can ask leading questions or miss the assumption most likely to break the idea.
3
Evidence is fragmented
Signals live across calls, tickets, surveys, sales notes, Slack threads, research repositories, and decks.
4
AI raises the stakes
The faster teams can build, the more important it becomes to know what deserves engineering and product investment.
InterviewWorkflow pain
SupportManual workarounds
MarketUrgency signal
Riskiest assumption
Product leaders will adopt AI workflow validation before committing engineering time
78Evidence
Next test
Interview 3 target accounts before build commitment
Assumptions become decision-grade evidence
LeanNav gives teams a structured workflow for validating product bets before they commit engineering time. It combines Lean Startup logic, synthetic customer discovery, guided interviews, and evidence scoring.
1
Define the riskiest assumption
Frame the product bet around what must be true for the idea to work.
2
Generate synthetic customer segments
Create evidence-grounded segments for early discovery and comparison.
3
Run structured discovery interviews
Use guided, non-leading interviews to test the assumption consistently.
4
Score the evidence
Use the Evidence Resonance Score to assess strength, relevance, and consistency.
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Make the decision
Build, pivot, research further, or stop—with a traceable evidence base.
Product validation before sprint planning
LeanNav starts where the pain is immediate: validating product assumptions before teams commit sprint capacity, pilot budgets, or roadmap investment.
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Product teams
Validate roadmap bets before committing engineering capacity and product investment.
2
Innovation teams
Test propositions before pilots, vendor evaluation, or internal business cases.
3
Venture builders
Screen ideas, founder assumptions, and market signals with a repeatable process.
Early traction
The initial product, commercial proof, and distribution path are already taking shape.
LiveMVP in production. Problem discovery, synthetic users, interview bot, and market signal are operational.
€5KPaid pilot live. Moving from service-led validation toward a managed platform model.
500+Partner pipeline. Enterprise innovation teams reachable through the Lean Startup Co ecosystem.
1 weekValidation cycle. Designed to test risky assumptions without delaying research for months.
Validation infrastructure for AI-native teams
As AI lowers the cost of building software, teams need a stronger decision layer before the build process begins.
Portfolio signal
Improving confidence
↗
Workflow automationEvidence score 82
Build
↻
Team copilotEvidence score 56
Pivot
?
Knowledge graphEvidence score 38
Research
Portfolio confidence
42 → 61
LeanNav sits upstream of delivery, helping teams validate demand, urgency, and evidence before capital and engineering time are committed.
1
Start
Assumption validation for product and innovation teams before sprint, pilot, and roadmap commitments.
2
Expand
Evidence intelligence across product portfolios, propositions, and customer segments.
3
Long term
Decision infrastructure for AI-native product development across the organisation.
Why LeanNav can win
The product combines a structured validation method, a proprietary scoring layer, and an initial distribution advantage.
✓
Structured methodology, not generic AI chat
Lean Startup logic guides teams from a risky assumption to a specific, auditable decision.
✓
Evidence scoring layer
The Evidence Resonance Score turns qualitative signals into a consistent basis for comparison and action.
✓
Synthetic discovery before customer access
Teams can sharpen assumptions and identify evidence gaps before scarce customer conversations begin.
✓
Distribution through innovation networks
LeanNav enters the market through established relationships with enterprise product and innovation teams.
✓
Data flywheel
Assumptions, interviews, decisions, and eventual outcomes can improve benchmarking and validation quality over time.
A decision layer before build
Existing tools collect research, manage roadmaps, or run interviews. LeanNav focuses on the missing step before delivery: deciding whether the evidence supports product investment.
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Research repositories
Store and organise insights teams have already collected.
2
Roadmap tools
Manage priorities and delivery once product decisions have been made.
3
Survey and interview tools
Collect feedback without necessarily structuring the decision it should inform.
4
Generic AI assistants
Generate responses without a dedicated validation methodology or evidence model.
LeanNav structures validation decisions before product investment. It connects the risky assumption, available evidence, discovery process, scoring, and final build-or-stop decision.
Validate the bet before AI builds
LeanNav is building the validation layer for AI-native product teams—helping companies decide what deserves to be built before engineering time is spent.