By Stan Kosyakov · Last updated: June 2026 · Version 1.8
TL;DR
This is a catalogue of 80 ways to validate a business idea, arranged from soft signals (cheap, fast, low-commitment) to hard proof (costly, slow, real money changing hands), grouped into 8 levels. Each method states what it proves, what it doesn't prove, and its best use cases. It is part of the Known Path Framework (KPF).
How to use it
Identify the minimum validation level your decision actually needs, then climb the spectrum as quickly and cheaply as possible — skipping levels wherever you need to. With a brand-new idea, start with something cheap and fast to get an early signal before you commit to offering or building anything; every level up strengthens that signal, so move up as fast as you can. At the same time avoid spending months at Levels 1–3 just researching — if you're not getting a signal, consider pivoting or upgrading quickly to Level 5–6 testing, which gives you a real answer. If you already have an established business, feel free to start at whatever level you're comfortable with.
🚀 Hands-on application
Want to apply these methods to your startup?
We regularly run The Known Path Workshops, where we take your specific startup, surface the riskiest assumptions behind it, and map them to the cheapest, fastest methods in this catalogue to validate first. You leave with a prioritised plan for your startup — not 80 options.
Two ways to join:
Group cohort — a small circle of founders, limited to 6 seats per cohort
1:1 session — the framework applied privately, on your own schedule
Pick your entry point by where you are today — then climb. You don't have to begin at Level 1; skip anything you've already proven.
Your situation
Start around
Why
Just exploring — no specific idea yet
Level 1
Map problems, markets, and competitors before committing
Have an idea, nothing built
Levels 1–3
Confirm the problem is real and your messaging lands, cheaply
Have mockups or a prototype
Levels 3–4
Get behavioral signals plus the why from real users
Have a product, no paying customers yet
Levels 5–6
Ask for small commitments to separate intent from curiosity
Have early revenue, want to scale
Levels 7–8
Prove a repeatable sales motion and a durable model
Established business, new line or feature
Level 4+
Skip what you already know; validate only the new bet
Levels overview
The whole spectrum at a glance — time, cost, commitment, and what each level proves.
Level
Count
Time
Cost
Commitment
What it proves
Level 1
19
Hours
$0–50
None
Awareness exists
Level 2
7
Days
$0–200
Email / click
Interest exists
Level 3
10
Days–Weeks
$50–500
Sign up / waitlist
Concept appeals
Level 4
13
Weeks
$0–1000
Time for conversation
Problem is real
Level 5
8
Weeks–Months
$500–5000
Small money / time
Intent to try
Level 6
8
Weeks–Months
$1K–10K
Meaningful money
Intent to buy
Level 7
7
Months
$5K–50K+
Contractual
Actual purchase
Level 8
8
Months–Years
Ongoing
Repeated money
Business model works
Level 1Hours$0–50No human interaction
Passive desk research
When to use: Your first stop for any new idea — confirm a problem, market, and competitors exist before spending real money or time. Ideal for fast, anonymous desk research that shapes everything downstream.
1 Google Trends Analysis
Ideal forValidating that a problem/topic has awareness; comparing relative interest across geographies or time periods; spotting seasonal patterns.
ProvesSearch interest exists and trending direction over time.
Doesn't proveIntent to buy, willingness to pay, or actual market size.
Ideal forService-business validation; understanding what clients pay for; identifying pain points from job descriptions.
ProvesBusinesses are willing to pay for this skill/service; the going rate for services.
Doesn't proveTotal market size or your ability to capture it.
Hiring-signal angle
Companies actively hiring for a role signal where they're investing — track recent hires on LinkedIn (premium feature), the LinkedIn pages of target companies, and listings across other job portals.
Ideal forMobile-app market sizing and competitor benchmarking; spotting fast-growing apps/categories; estimating a competitor's downloads/revenue before entering.
ProvesComparable mobile apps have real traction — download volumes, revenue estimates, store rankings; which apps and categories are growing.
Doesn't proveEstimates are exact (they're modeled, not actuals); a new entrant can capture share; profitability after platform fees and user-acquisition costs.
6 Ad-Library / Ad-Transparency Analysis
Ideal forReverse-engineering competitor messaging and funnels; spotting winning creatives; tracking new entrants and campaigns.
ProvesWhat competitors are advertising right now — creatives, offers, landing pages, and how long an ad has run (a proxy for what's working).
Doesn't proveConversion/ROI of those ads; their total spend; that copying them will work for you.
ProvesInnovation activity in the space; potential IP conflicts.
Doesn't proveCommercial success of ideas; market demand.
11 Academic Research / Industry Reports + Public & Government Datasets
Ideal forUnderstanding macro trends; citing credible data; sizing markets from public datasets — national census, trade records, business registries, Statista, Eurostat, World Bank Open Data.
ProvesExpert analysis exists; market-size estimates; trend forecasts; hard official figures (population, trade flows, business counts) to ground a TAM.
Doesn't proveForecasts are accurate; you can execute.
Ideal forConfirming category momentum; finding well-funded competitors/acquirers; timing market entry; building the investor narrative for your own raise.
ProvesInvestors are deploying capital into the space; which sub-segments are heating up; comparable raise sizes/valuations.
Doesn't proveCustomer demand is real (hype ≠ revenue); these companies are profitable; room remains for a new entrant.
Ideal forB2B/professional topic validation; harvesting messaging and pain-point language; sizing relative interest across sub-topics before you produce anything.
ProvesA topic commands attention — high public view/read counts on existing decks and reports; which titles/angles/formats pull; the exact questions and objections people leave in comments.
Doesn't provePurchase intent or market size; viewers ≠ buyers (audiences skew, and much traffic is search-driven).
How to use
Search SlideShare / Scribd / Issuu for your topic and scan by view & read counts — tens of thousands of views is a proven topic-pull signal.
Note which titles, angles, and formats accumulate the most views → free copy/positioning intelligence.
Read the comments and Q&A on popular docs for pain-point language and objections.
Use Scribd's "readers also read" rails to surface adjacent demand you hadn't considered.
Ideal forIdea sourcing from validated pain; harvesting exact customer language and attempted fixes; spotting recurring problems with a built-in upvote signal.
ProvesReal, self-submitted problem statements exist and which attract the most votes/interest; raw demand in people's own words; some sites pre-tag willingness-to-pay.
Doesn't proveSubmitters will pay you; submission volume = market size; the problem is monetizable/defensible.
Level 2Days$0–200Low audience commitment
Light digital outreach
When to use: Once desk research looks promising and you want a first reaction from real people — testing whether your messaging lands and your target audience responds, without building anything.
Ideal forB2C/creator/prosumer audiences where email is weak; testing hooks; booking discovery calls.
ProvesYou can reach the target via social channels; which hooks earn replies; reply / positive-reply rates.
Doesn't proveThey'll buy; the channel scales without being flagged as spam.
26 Value-First Community Contribution
Answer questions / post helpful content, then measure inbound. Distinct from #22 Online Community Questions — that is asking the community questions; this is giving value and measuring the pull.
Ideal forCommunity-led validation; building trust before pitching; cheap content-market-fit testing.
ProvesYour expertise/angle attracts the audience; inbound DMs and profile clicks; what content pulls.
Doesn't proveInbound interest = buyers; it scales beyond your personal effort.
Level 3Days–Weeks$50–500A small action
Active digital engagement
When to use: When you have a value proposition worth testing and want hard behavioral signals — clicks, signups, conversions — to gauge real demand before building the product.
27 Landing Page + Email Signup
Ideal forValidating value proposition; building an email list; testing different positioning.
ProvesConcept is interesting enough for an email; messaging clarity; traffic conversion rates.
Doesn't proveThey'll pay; emails are high-quality; they'll stay engaged.
Distinct from #28 Smoke-Test Ads, which buys external traffic to a landing page; this is an on-product element.
Ideal forPrioritizing features before building; testing a new line on existing traffic; pricing-tier test (add a tier with "Notify me" and measure clicks). Guide.
ProvesGenuine click-intent for a feature/product that doesn't exist yet; relative demand between options.
Doesn't proveThey'd pay; they'll complete the journey (you must handle the "not built yet" moment gracefully).
Ideal forTop-of-funnel lead gen; ROI/savings calculators for B2B; capturing segmentation data; readiness/maturity scorecards — let the audience self-assess, then share publicly for engagement or send to ICPs to open a conversation.
ProvesEngagement and shareability of an interactive asset; self-reported data revealing users' context/needs.
Doesn't proveUsage = purchase intent; it generalizes beyond the gimmick.
36 Document & Deck Distribution Test
Publishing your own deck, whitepaper, or report to probe demand and capture leads — the active counterpart to #18 Document & Deck Library Mining.
Ideal forCheap top-of-funnel B2B distribution; testing messaging at scale; repurposing a lead magnet (#34 Lead-Magnet Download Test) across an extra channel; building authority.
ProvesA topic pulls an audience when you publish (views, downloads, traffic sources); which framing converts via an end-of-deck CTA; evergreen SEO/inbound potential.
Doesn't proveThey'll pay; the platform audience equals your buyers.
How to use
Publish a genuinely useful asset — a "State of [X] 2026" deck, a competitor teardown, a checklist/template, or a whitepaper.
The real conversion signal is a strong CTA + link at the end of the doc → your own landing page/waitlist; measure click-through and email capture.
Both rank well in Google, so the asset doubles as evergreen SEO/inbound top-of-funnel.
Level 4Weeks$0–1000Your time
Direct human interaction
When to use: When you need the why behind the numbers — deep qualitative understanding of the problem, workflow, and customer language that quantitative tests can't surface.
37 Attending Events of Target Audience
Combines Level-1-style passive recon with light pre-outreach — turns "attending" from showing up into a targeted play.
Ideal forBuilding relationships and booking interviews; qualifying whether a niche turns out in numbers; B2B/community validation where in-person trust matters.
ProvesYour target audience physically convenes and is reachable in person; who shows up and what they care about; that warm, face-to-face conversations are possible.
Doesn't proveThey'll buy; attendees represent the broader market; events scale as a repeatable channel.
Ideal forPositioning yourself as a category authority; generating warm leads and interview opportunities; community-led GTM.
ProvesYou can draw your audience to a gathering of your own; which topics/positioning pull people in; inbound interest after a soft offer.
Doesn't proveAttendees will become paying customers; it scales beyond your personal effort and network.
How to run it
Find partners who host or are in touch with your target group → offer to collaborate on an info event, no strings attached.
Present yourself as an industry leader → let them ask questions.
Make a special offer at the end → measure inbound interest.
Collect emails + phone numbers → reach out to ask for interviews.
39 Reach Out to a Proxy of the Target Audience
Interview them first — reach the real decision-maker via adjacent or gatekeeper roles.
Ideal forReaching gated/busy ICPs through accessible intermediaries; warming up a path to an intro; pre-qualifying before investing in the real target. Proxy examples: CEO → CTO/CFO/PA; housewives → husbands; hotel directors → receptionists.
ProvesAccess to hard-to-reach buyers via adjacent or gatekeeper roles; second-hand insight into the real decision-maker's context, pain, and priorities.
Doesn't proveThe proxy's view matches the actual buyer's; willingness to pay; that you'll reach the decision-maker directly.
40 Informational Interviews
(20–30 min calls)
Ideal forDeep problem understanding; finding early adopters; refining targeting.
ProvesProblem is real for specific people; their current solutions; pain severity.
Doesn't proveThey represent the broader market; they'll buy from you.
Structured interview script
"Walk me through how you currently handle [problem]."
"What's the cost of NOT solving this?" (time, money, missed revenue)
"What have you tried? Why didn't it work?"
"If there was a solution, what would you pay?" (anchor with ranges)
"What would you need to see to trust trying something new?"
Ideal forB2C/local validation; quick message testing; cheap volume of qualitative reactions when your audience is physically reachable (high streets, malls, campuses, events).
ProvesFast, unfiltered first reactions from real people in the wild; whether your pitch lands in seconds; common objections and points of confusion.
Doesn't proveThey're your ICP; they'll buy; statistical representativeness.
How to use
A 1-line pitch + 3 questions ("What do you think this does? / Would you use it? / What would you pay?"), approach in target locations, offer a tiny incentive, capture verbatim reactions.
When to use: When you're ready to ask for a small commitment — time or token money — to separate genuine intent from polite curiosity and recruit your earliest users.
Ideal forInfo products; authority-building + audience capture; testing a topic before a course/service; niche validation.
ProvesTopic demand via impressions/page-reads and actual purchases (small but real willingness-to-pay); category/keyword ranking; reviews surface deeper needs; builds author authority.
Doesn't proveDemand for a higher-ticket product/service; repeat or scalable revenue.
Level 6Weeks–Months$1K–10KMeaningful time or money
Medium-commitment validation
When to use: When you need to prove people will actually pay and that you can deliver the value — often by running the service manually before building any technology.
58 Pre-Orders
(refundable deposits)
Ideal forPhysical products; establishing cash flow; gauging production quantities.
ProvesWillingness to commit money; demand exists; pricing isn't too high.
Doesn't proveThey won't cancel; you can deliver on time; profit margins.
ProvesValue proposition works; people will pay; the actual workflow/process.
Doesn't proveIt's automatable; unit economics at scale; technical feasibility.
Three ways to run it
Option A — Manual prototype: "I'll manually solve this for you for 2 weeks for €50." You do the work by hand. Tests: will they pay something? Does solving it actually help?
Option B — Paid workshop/audit: "€200 for a 2-hour diagnostic session." You learn their context deeply without system access; delivers immediate value and builds trust.
Option C — "Pilot partner" application: "We're accepting 3 pilot partners for free lifetime access in exchange for feedback." Structure it to deliver value before asking for sensitive data (onboarding → dummy data → real data once credible).
60 Wizard of Oz Testing
(manual backend, automated frontend)
Ideal forComplex technical products; AI/ML products; validating value before building tech.
ProvesUser experience works; value is delivered; willingness to pay.
Doesn't proveTechnical feasibility at scale; automation is possible; unit economics.
61 Paid Workshops / Webinars
Ideal forInfo products; consulting services; building audience; testing content-market fit.
ProvesWillingness to pay for expertise; problem awareness; target-audience engagement.
Doesn't proveThey'll buy a product; ongoing demand; scalability.
Ideal forEducation-led GTM; consultants/experts validating a niche; running the "educate → offer service → productize" ladder.
ProvesPeople will pay to be educated on the problem (a strong intent signal); which modules/topics draw demand; you build a warm, high-intent audience for an upsell.
Doesn't proveThey'll buy the eventual product/service; course buyers = product buyers; it scales without you.
Level 7Months$5K–50K+Financial / contractual
High-commitment validation
When to use: When validating a serious, high-ticket or B2B/enterprise offer — real contracts, deposits, and budget commitments that de-risk a full build or a fundraise.
Doesn't proveThey'd renew at a higher price; satisfaction across the full term.
Level 8Months–YearsOngoing revenueRepeated money
Strongest validation
When to use: Post-launch — to confirm the model is repeatable and durable (retention, referrals, expansion, profitable unit economics), not just that a first sale happened.
Ideal forValidating retention; proving lifetime value; demonstrating the business model works (the strongest stickiness signal).
ProvesValue delivery confirmed; product stickiness; satisfaction. The headline metric is NRR (renewals + expansion − churn/contraction); NRR > 100% means negative churn — the base grows with zero new logos.
ProvesDemand outstrips supply at the current price — strong PMF and likely pricing power.
Doesn't proveIt persists once capacity expands; margins.
Glossary
The acronyms used across the catalogue.
B2B / B2C
Business-to-Business / Business-to-Consumer
DTC
Direct-to-Consumer
SaaS
Software-as-a-Service
MVP
Minimum Viable Product
ICP
Ideal Customer Profile
JTBD
Jobs-To-Be-Done — the "job" a customer hires a product to do
TAM
Total Addressable Market
PMF
Product-Market Fit
WTP
Willingness-To-Pay
CAC
Customer Acquisition Cost
GTM
Go-To-Market (strategy)
NRR
Net Revenue Retention (renewals + expansion − churn)
CTA
Call-To-Action
SEO
Search Engine Optimization
ROI
Return On Investment
BSR
Best-Seller Rank (Amazon)
MoU
Memorandum of Understanding (non-binding intent)
LOI
Letter of Intent
Putting this to work on your own startup
This catalogue is the toolbox. The harder part — and where most founders get stuck — is choosing which handful of methods actually matter for your startup, sequencing them riskiest-first, and knowing when you've learned enough to make the call.
That's exactly what we do in The Known Path Workshop
We take your specific startup, surface the riskiest assumptions behind it, and map them to the cheapest, fastest methods in this catalogue to validate first. You leave with a prioritised plan for your startup — not 80 options.
Two ways to join:
Group cohort — a small circle of founders, limited to 6 seats per cohort
1:1 session — the framework applied privately, on your own schedule
Common questions about this catalogue and how it connects to the Known Path Workshop.
What is this Discovery Methods Catalogue?
It's a free reference of 80 startup validation methods organized into 8 levels, from cheap desk research (Level 1, hours, $0) to hard proof of a working business model (Level 8, months, ongoing). Each entry states what the method proves, what it doesn't prove, and when to use it. It is part of the Known Path Framework (KPF).
Which validation method should I start with?
Start with the cheapest method that gives you the signal you actually need. If you're exploring an idea, Level 1 desk research costs nothing and takes hours. If you have a prototype, jump to Levels 3–4. If you already have a product but no buyers, Levels 5–6 ask for real commitment. The Quick start table maps your situation to the right entry point.
What's the difference between the 8 levels?
Each level represents increasing commitment — from both you and your potential customer. Lower levels prove awareness or interest exists. Higher levels prove actual purchase intent or a durable business model. Level 1 costs nothing and takes hours; Level 8 requires real recurring revenue and months of data. See the Levels overview table for the full comparison.
How is the Known Path Workshop different from reading the catalogue?
The catalogue gives you 80 options. The hard part — where most founders get stuck — is choosing the 3–5 that matter for your specific startup, sequencing them riskiest-first, and knowing when you've gathered enough evidence to decide. The Known Path Workshop applies the full KPF process to your venture: we surface the hidden assumptions you're betting on, rank them by Impact × Discovery Speed, and map each to the exact methods here. You leave with a prioritised plan, not 80 options.
How is the Known Path Framework different from Lean Startup or other validation methods?
Lean approaches focus on building and iterating on what you think you need — often moving fast without questioning whether you're solving the right problem. KPF flips the order: find the risks first, surface the assumptions you don't know you're making, then validate them cheaply before you commit time and money. Less "build fast and see." More "know what's actually at risk before you move."
Does this catalogue work if I already have paying customers?
Yes. If you have paying customers, skip Levels 1–6 and focus on Levels 7–8: non-refundable pre-sales, letters of intent, paid pilots, renewals and net revenue retention, organic referrals, and upsell/expansion revenue. These levels validate that your business model is durable and repeatable at scale — not just that the first sale was possible.
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