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Valtra

Stop guessing. Start validating.

Valtra helps you test your riskiest business assumption before you waste months building the wrong product.

Free to start. No card required.

Workflow software for independent designersExample workflow
  1. 1

    Riskiest assumption

    Designers lose enough time managing client revisions to pay for a dedicated tool.

  2. 2

    Evidence

    3 of 5 designers described the problem as frequent. 1 already pays for a workaround.

    5 customer interviews2 positive · weak1 negative · strong

  3. 3

    Confidence

    6/104/10 Decreased

  4. 4

    Decision

    Test a manual service before building the full product.

Not real customer data.

The founder problem

Most ideas don't fail for lack of effort.

They fail because time and money go in before anyone knows whether the customer is real, the pain is urgent, or the price will be paid.

  1. 1

    Interest is mistaken for demand

    “I'd use that” costs nothing to say. Paying, pre-ordering, or switching is the signal that counts.

  2. 2

    Building starts before anyone is asked

    Months go into a product that a few conversations could have ruled out in a week.

  3. 3

    AI plans feel like proof

    A polished plan from a chat window is still a guess until real customers behave the way it predicts.

  4. 4

    Nothing is written down

    Without a record of what you tested and what happened, every decision is made from memory and mood.

How it works

One loop: assumption, experiment, evidence, decision.

  1. 1

    Describe your idea

    Four short answers. About three minutes.

  2. 2

    Get your Founder Diagnosis

    The 3–5 assumptions your idea depends on, and which one is riskiest.

  3. 3

    Test the riskiest one

    One cheap, real-world experiment, with success, failure, and a decision rule set in advance.

  4. 4

    Record what happened

    Positive, negative, or uncertain — weighted by how strong the evidence is.

  5. 5

    Decide

    Build, narrow, or stop, based on how your confidence moved and why. Then review the week.

See it work

Watch one idea go through the loop.

From a rough idea to the next best action, in seven steps. It plays on its own; pause or step through whenever you like, or open the demo on its own page.

Example workflowWorkflow software for independent designers

Step 1 of 7: The idea.

Start with the idea, in your own words.

Valtra turns a rough description into context you can check and correct. Its guesses stay marked until you approve them.

You said: I want to build workflow software for independent designers. Product and brand designers seem to lose a lot of time managing client revisions.

Valtra

Here's what I understood: a workflow tool for independent product and brand designers, built around client revisions. The biggest unknown is whether they lose enough time to pay for a dedicated tool — so that's what we should test first.

Updated what Valtra understands — 2 to check.

What Valtra understands

2 to check
  • Business idea

    You said this

    Not known yetWorkflow software for independent designers

  • Target customer

    You said this

    Not known yetIndependent product and brand designers

  • Main problem

    You said this

    Not known yetManaging client revisions takes up time they could spend designing.

  • Current stage

    AI guess

    Not known yetIdea only

  • Biggest unknown

    AI guess

    Not known yetWhether designers would pay for a dedicated tool

Example workflow — not real customer data. Pre-written for this demo: no AI runs, nothing is saved and no credits are used.

Why not just ask an AI chat?

A chat gives you an answer. Valtra keeps the evidence.

General-purpose AI chats are useful for thinking out loud. They aren't built to hold a founder to a test, a result, and a decision.

How a blank AI chat compares with Valtra
A blank AI chatValtra
Starts from a blank page each time unless you paste everything back in. Keeps every assumption, experiment, and result for the idea.
Answers from general knowledge and whatever you typed. Every recommendation points to the evidence you recorded.
Can agree with you if you rephrase the question. Confidence only moves when new evidence is recorded — and says why.
Easy to scroll past. Negative results stay in the ledger and count toward the decision.
Rarely asks what result would change your plan. Sets success, failure, and a decision rule before you start.

Inside the product

Built around evidence, not answers.

These are the real Valtra components. Example workflow — not real customer data.

Validation Lab

One experiment at a time, aimed at your riskiest assumption. What counts as success, what counts as failure, and what you'll do either way are written down before you start.

Validation LabExample workflow

Customer interviews In progress

Interview five designers about their last difficult revision project.

Designers lose enough time on client revisions that some already pay to manage them.

Counts as success
3 or more of 5 describe revisions as a frequent problem, and 2 or more already pay for a workaround.
Counts as failure
Fewer than 3 describe it as frequent, or none of them pay for anything today.

Decision rule: if fewer than 2 already pay for a workaround, test a manual service before building the full product.

Not real customer data.

Evidence Ledger

Every result, including the disappointing ones, with its strength and the assumption it tested. Your decision status is calculated from this record — never from an AI prediction.

Evidence LedgerExample workflow
  • PositiveweakCustomer interview· 5

    3 of 5 designers described difficult client revisions as a frequent problem.

    Designers lose enough time managing client revisions to pay for a ded…
  • PositiveweakCustomer interview· 2

    2 designers said they would try a dedicated tool for managing revisions.

    Designers lose enough time managing client revisions to pay for a ded…
  • NegativestrongCustomer interview· 5

    Only 1 of 5 already pays for a workaround. The other 4 pay nothing to manage revisions today.

    Confidence 6 → 4/10 · The problem is common, but only 1 of 5 designers pays anything to solve it today.

    Interpretation
    The problem is real, but paying for a dedicated tool isn't proven.
    Designers lose enough time managing client revisions to pay for a ded…

Negative evidence is never hidden. Your decision status is computed only from what you record.

Not real customer data.

Confidence that moves for a reason

When you record evidence, you see exactly how your confidence changed and why. A number never moves silently.

What this evidence changedExample workflow
Confidence decreased

6/104/10

Confidence decreased from 6/10 to 4/10: The problem is common, but only 1 of 5 designers pays anything to solve it today.

Assumption: Designers lose enough time managing client revisions to pay for a dedicated tool.

Computed from your evidence weighting: strong moves 2 points, moderate 1, weak or uncertain none.

Not real customer data.

Weekly founder review

Fifteen honest minutes: what you tested, what got stronger or weaker, what you avoided, and one priority for next week.

Weekly founder reviewExample workflow

You tested your riskiest assumption this week and the result was mixed: designers feel the problem, but only 1 of 5 pays anything to solve it. That is progress — it tells you what not to build yet.

  • Designers will pay for a dedicated tool for client revisions (weaker)Only 1 of 5 interviewed designers pays for a workaround; the other 4 pay nothing.
  • Client revisions are a frequent problem for independent designers (stronger)3 of 5 designers described it as frequent.

Worth noticing: You asked whether designers would try a tool, not what they pay today. Ask about money they already spend.

Focus for next week: Interview five more designers and ask what they currently pay to solve this problem.

Reflection decision frame

AI confidence: Low
Key insight
The problem is common; paying to solve it is not proven.
Main uncertainty
Whether designers who feel the problem will pay for help rather than keep their current workaround.
Highest-risk assumption
Designers lose enough time managing client revisions to pay for a dedicated tool.
Recommended action
Test a manual service before building the full product.
Expected learning
Whether money changes hands when the offer is real.
Decision rule
If none of the next five designers pay anything today, narrow the customer or stop.

Not real customer data.

Pricing

Start free. Pay only to keep testing.

Know whether to build, narrow, or stop your idea — based on evidence you collected, not AI opinions.

Free

Available now

Test one idea, from its riskiest assumption to a decision you can defend.

₹0no card required

What's included

  • One active idea
  • Limited AI credits: 100, once
  • One Founder Diagnosis
  • One validation experiment
  • Basic evidence tracking: the last 30 days on your timeline, and every negative result

When you reach a limit, that AI feature stops and every manual tool keeps working. Your ideas, evidence, and reviews are never locked.

Founder Pass

Not available yet

Keep testing week after week, until the evidence tells you to build, narrow, or stop.

₹999/ 30 days · one-time payment, no auto-renewal

What's included

  • Everything in Free
  • 1,500 AI credits for the 30 days — more AI usage, with daily fair-use limits
  • Your full evidence history, with export
  • An AI-assisted weekly review, every week
  • A deeper validation workflow: up to 5 live experiments per idea

AI features have daily fair-use limits and use credits; if you run low, every manual tool keeps working. The pass doesn't renew: nothing is charged again.

A chat reply usually uses 1 credit; deeper work uses a little more. Unused credits carry over to your next pass. Refundable within 7 days if you've used fewer than 150 credits (refund policy).

Paid access is not available yet. Join the waitlist to be notified.

No payment details. No account needed.

See exactly what AI each plan includes

Questions

Honest answers.

Is Valtra an AI business coach?

No. Valtra is a structured way to test an idea with real customers and keep a record of what happened. AI helps draft assumptions and experiments and summarise your own evidence; it does not decide for you, and it does not pretend to be an expert or a real person.

Does it guarantee that an idea will work?

No. Nothing can guarantee success, revenue, funding, or profitability. Valtra helps you find weak assumptions early, so your decisions rest on evidence rather than hope.

Does Valtra research the market for me?

No. It doesn't browse the web or verify market data, and it won't invent statistics or competitor facts. It helps you design research you run yourself, and treats what you record as the evidence.

What happens when I reach the free AI limit?

The AI feature you used stops for that allowance and tells you so. Everything else keeps working: you can add assumptions, run experiments, record evidence, and write your weekly review by hand. You can also join the Founder Pass waitlist.

Why does the paid plan still have AI limits?

Every AI request has a real cost. The paid plan has higher limits with fair use, so the product stays affordable and nobody's usage degrades it for everyone else.

Do I need technical skills?

No. The experiments Valtra suggests — customer conversations, pre-orders, manual services, simple landing pages — need no code.

Is it a replacement for legal, financial, or professional advice?

No. Valtra provides educational and strategic guidance. For legal, tax, accounting, investment, or financial decisions, work with qualified professionals.

Find out whether to build, narrow, or stop.

Four questions, about three minutes, to your Founder Diagnosis and your first real-world test.

Validate My Idea