Practice

Use the method through ready-made material.

Your product may say delivered, resolved, issued, confirmed, approved, completed, escalated, or AI answered. That signal is not proof that the relied-upon promise was kept.

Start with the toolkit or video seminar. Apply the method to one real status label through self-serve material.

Praxis modeling canvas visual.

Signals

Bring one signal your team may trust too early.

Start with the status label. Then test whether it actually witnesses a kept promise.

delivered

resolved

issued

confirmed

approved

completed

escalated

AI answered

Public proof

Start from a teardown that already shows the method.

These cases are public examples of the signal, promise, carrier, proof, betrayal, and pressure map used in the toolkit and video seminar.

A delivery scene used to examine whether delivered proves correct delivery.

Delivery

Delivered Is Not Proof

Signal
Delivered
Relied-upon promise
The package reached a customer-accessible place.
Missing proof
Reliable evidence that the package reached the correct place.
Read teardown
Support resolution visual showing the gap between closure and repair.

Support

Resolved Is Not Repaired

Signal
Resolved
Relied-upon promise
The customer's problem was fixed or honestly remains open.
Missing proof
Customer-visible evidence that the original problem no longer persists.
Read teardown
Product promise visual used to examine AI as carrier of a promise.

AI

AI Answered Is Not AI Resolved

Signal
AI answered
Relied-upon promise
The user received a trustworthy answer, action, escalation, or refusal.
Missing proof
Evidence that the answer was true, sufficient, owned, or escalated.
Read teardown

Practice material

Use the book as reference. Use the material to apply the method.

Start with a self-serve diagnostic asset, then move into visual training or team access when the method needs to be shared.

Digital

Product Trust Praxis Toolkit

For practitioners, consultants, founders, and small teams that want to apply the method without scheduling a live session.

  • 7-question Praxis Check
  • Green Checkmark Audit
  • Praxis Canvas
  • AI Product Promise Checklist
  • worked teardown example
  • team discussion guide
  • video seminar worksheet

Video

Product Trust Video Seminar

A no-face, voice-led seminar with diagrams, pictures, examples, and a worksheet for inspecting one workflow signal.

  • the product signal
  • the relied-upon promise
  • the carrier where the promise is encountered
  • what proof would show the promise was kept or validly refused
  • how the product can look successful while the promise fails
  • what pressure makes the failure more likely
  • one concrete repair or next test

Team

Team video seminar license

For teams that need shared access to the recorded material and a bounded internal-use agreement.

  • team access grants
  • seat-limited viewing
  • organization and expiry terms
  • internal-use agreement
  • toolkit access when included

Access request

Start with one workflow.

Use this form for toolkit interest, individual video seminar access, or team video seminar access. The strongest requests name a real moment where someone relied on a product signal and became exposed if the signal was wrong.

Privacy notice: We use this information to respond to your access request and route toolkit or video seminar access. Access request records are kept while needed to respond, preserve suppression choices, or maintain required accounting records. You can request access, correction, deletion, restriction, consent withdrawal, publication withdrawal, or unsubscribe support at hello@FindThePraxis.com. Read the privacy notice.

Do not send passwords, secrets, financial account numbers, health data, minors' data, legal files, or unnecessary third-party identifiers. Do not submit this form if you are under 18.

If the form fails, write to hello@FindThePraxis.com.

Who this is for

Teams responsible for promises under pressure.

Product managers whose workflows show success while customers still suffer.

CX and support leaders dealing with false resolution or reopened cases.

AI product teams separating answer, authority, evidence, and repair.

UX and service designers who need more than journey maps.

Operations leaders responsible for handoffs, proof, and ownership.

Founders who want product trust built before scale exposes cracks.

Consultants who need a sharper diagnostic method for client work.