ProductQuant Labs ↗

Make the value clear. Make the economics work.

Connect the customer’s desired outcome to pricing and packaging that people and AI agents can evaluate. This work informs the diagnostic and experiment sprint; wider pricing implementation is separately scoped.

Start with the customer’s job, not a preferred billing model.

  1. Understand the outcome: customer interviews and Jobs-to-be-Done evidence reveal what progress is worth paying for.
  2. Understand alternatives: include workarounds, competing products and the option to do nothing.
  3. Examine value and constraints: review willingness-to-pay evidence, budgets, procurement and delivery costs.
  4. Build the offer: choose packaging, pricing units, caps and proof that fit the job and product capability.
  5. Test the decision: compare variants and economics before treating a pricing idea as a market result.

Value-based and outcome-based are not the same.

Value-based pricing uses the value of the outcome and credible alternatives to inform the price. The bill may still be fixed, usage-based or subscription-based.

Outcome-based pricing ties payment to an agreed result. It needs a measurable success condition, reliable metering and workable risk allocation. We evaluate whether it fits; we do not impose it on every product.

What the pricing work produces.

  1. A job-level cost and value model, with assumptions and missing inputs made visible.
  2. Scoped packaging or price variants with clear buyer-facing terms and delivery constraints.
  3. Margin sensitivity and risk analysis, so a compelling promise does not hide an unviable cost.
  4. A recommendation and validation plan your product, growth and sales teams can use together.

Is this the decision your team needs to make?

Share the product, current friction and target outcome. We’ll establish fit and agree a useful scope before paid work.

Discuss the fit

The unit price is only part of the decision.

A low rate can hide retries, setup work, failure exposure or unpredictable usage. A higher rate can produce a lower completed-job cost. Neither is automatically better.

We connect the buyer’s job, delivery risk and willingness to pay to an offer your product can fulfil. Value-based pricing means understanding the outcome and its alternatives, then testing the commercial structure.

What we examine.

  • The outcome, its value to the customer and the credible alternative.
  • Total job cost, delivery costs, retries and margin sensitivity.
  • Usage, credit, fixed and outcome-based models where they fit the job.
  • Packaging, caps, trials and guarantees with explicit limits.
  • Human understanding, procurement needs and agent-readable terms.

A better price has a better reason.

The work can surface where customers pay for the wrong unit, where a plan obscures value or where a guarantee shifts too much delivery risk onto you.

You gain a defensible pricing decision, a clearer sales explanation and a test plan. Better margin is an objective we measure, not an uplift we promise in advance.

Start with the economics.

The Agent Choice Diagnostic starts at $1,500 USD and includes job-level pricing analysis. The Offer Experiment Sprint starts at $7,500 USD and tests scoped variants.

If the required billing capability does not exist, we label it as a product requirement. We do not put an unimplemented guarantee on a live offer.

A clear question. A practical next move.

Start with your product and the buying or product-experience problem you want to solve. We’ll identify the right evidence and scope.

Discuss your next move