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Conversion / UX & Conversion

Fix the friction that's costing you the most sales.

Your roadmap is full of strong opinions and one-off tests, and nobody in the room can say which bit of friction is actually costing you the most.

What should we change first, and what evidence will settle it?

Opportunity map / test-ready

Decision arena
Where buyers stall / tests to run
Evidence state
Ranked before launch / test-ready
TXConversion Opportunity Map
Sanitized reconstruction4 channels / 30 paths
Open evidence record Decision workspace / TX-WS-CRO-01
Artifact
Decision workspace
Evidence status
Sanitized reconstruction
Record ID
TX-WS-CRO-01
Record
Sanitized purchase-path reconstruction / values altered / pre-launch decision brief
Decision question
Which journey constraint should enter the experiment portfolio?
Purchase path analysis

Everyone stalls in the same place: starting checkout.

12hypotheses4ready
Decision workspace · sanitized reconstruction · values alteredObserved signal → ranked opportunity → test decision

Engagement brief

One question, tightly drawn. One decision you can defend.

Built for
For digital product, ecommerce, growth, and experimentation leaders.
Start here
Conversion opportunity and evidence review
Decision record
A ranked list of opportunities and the tests to settle them
What we need from you
Two workshops plus access to your analytics, research, and past experiments.

The analytical work

Evidence enters. A capital or operating decision leaves.

What we'll ask you for

  1. Journey analytics, funnels, session recordings, and customer feedback
  2. Prior experiments, product constraints, and roadmap context
  3. What each journey, segment, and behavior is worth

How we get to the answer

  1. Turn the signals into clear, testable claims
  2. Size each one by reach, value, confidence, and effort
  3. Design tests around the decision, not the feature
  4. Capture what you learn so the next test builds on it

Evidence sequence

Not dashboards for display. Evidence for the next move.

Every view below answers the three questions you'd ask anyway: what did we look at, what did we find, and what should you do about it?

TXConversion Opportunity Map
Sanitized reconstruction4 channels / 30 paths
Open evidence record Decision workspace / TX-WS-CRO-01
Artifact
Decision workspace
Evidence status
Sanitized reconstruction
Record ID
TX-WS-CRO-01
Record
Sanitized purchase-path reconstruction / values altered / pre-launch decision brief
Decision question
Which journey constraint should enter the experiment portfolio?
Purchase path analysis

Everyone stalls in the same place: starting checkout.

12hypotheses4ready

Read every supporting value in the purchase-path record below.

ChannelLanding → cartCart → checkoutCheckout → purchaseOverall
Paid search 72.6% 7.2% 89% 4.6%
Paid social 16% 19.6% 62% 1.9%
Direct 39.5% 8.6% 77.4% 2.6%
Organic search 45.4% 7.9% 91% 3.6%
Experiment decision brief / Pre-launch

Side-cart reassurance and shipping progress

We're not claiming a result. This is the plan we build before running the test.

Signal
Cart intent survives across sources; checkout initiation does not.
Hypothesis
Making fulfillment cost and progress explicit before checkout will increase initiation.
Primary measure
Checkout initiation per eligible cart session
Decision threshold
At least 3% relative lift with the 90% interval excluding zero
Owner
Growth product + analytics
Guardrail
Purchase completion and support-contact rate do not deteriorate

Use horizontal scrolling to inspect every evidence source and its role.

EvidenceStateWhat it supports
Event telemetryObservedCheckout initiation is weak across all four acquisition paths.
Session evidenceCorroboratesDelivery cost and reassurance are repeatedly sought before checkout.
Prior learningNo conflictThe experiment archive contains no completed test of this combined treatment.
Result stateNot yet observed
Stop conditionPause if either guardrail crosses its pre-agreed boundary.
Scale conditionShip only after the threshold survives the planned exposure window.
Decision workspace · sanitized reconstruction · values alteredObserved signal → ranked opportunity → test decision

Experiment decision record / Worked reconstruction

From test movement to a roadmap decision.

Synthetic worked reconstruction

This worked example uses realistic made-up numbers to show the post-test deliverable. It is not a client result.

Open evidence record Executive brief / TX-BRIEF-CRO-01
Artifact
Executive brief
Evidence status
Synthetic model / not client evidence
Record ID
TX-BRIEF-CRO-01
Record
Synthetic worked experiment reconstruction / post-test decision state
Decision question
Did the treatment earn a place in the product roadmap?
  1. 01
    Observed evidence

    Checkout initiation breaks after cart intent.

    Cross-channel telemetry and session evidence point to unresolved delivery cost and reassurance before checkout.

  2. 02
    Friction diagnosis

    The uncertainty arrives too late.

    Fulfillment cost, timing, and progress are not visible when the shopper decides whether to continue.

  3. 03
    Testable hypothesis

    Make the commitment legible before checkout.

    A side-cart treatment combining delivery reassurance and shipping progress should increase eligible checkout starts.

  4. 04
    Controlled treatment

    50/50 eligible-session exposure.

    Control retained the existing cart. Treatment added the combined reassurance module with no other journey changes.

Primary measure

Checkout initiation per eligible cart session

Threshold met
90% interval
+3.4% to +12.5% relative
Pre-registered gate
At least +3% relative with the interval excluding zero
Exposure
48,260 eligible sessions · 50/50 allocation

Use horizontal scrolling to inspect the full guardrail review.

GuardrailControlTreatmentBoundaryReview
Purchase completion68.4%68.1%No worse than −1.0 ppWithin boundary
Support-contact rate2.7%2.8%No worse than +0.5 ppWithin boundary
DecisionScale with monitoring
Why

The primary gate is met and both guardrails remain inside their pre-agreed boundaries.

Next learning

Separate delivery reassurance from shipping progress to identify which mechanism earns the effect.

Measurement boundary

This record supports a product decision. It does not establish downstream revenue impact without a defensible contribution comparison.

Learning repository / Worked records

Make the learning survive the experiment.

Most test results end up buried in a deck nobody opens again. A reusable record keeps the evidence, the scope, the decision, and the next test together, so what you learned is still there in six months.

Synthetic learning system

This repository is an internally coherent demonstration of the operating deliverable. It is not a client experiment archive or a collection of realized commercial outcomes.

Open evidence record Decision workspace / TX-WS-CRO-02
Artifact
Decision workspace
Evidence status
Synthetic model / not client evidence
Record ID
TX-WS-CRO-02
Record
Synthetic experimentation learning repository / illustrative decision records
Decision question
What did the experiment portfolio learn, and what should the next controlled action be?
Repository state
Synthetic worked records / illustrative
Release rule
No client archive or commercial outcome represented
  1. LR-024 Worked continuation

    Isolate the mechanism before the treatment becomes a pattern.

    The adjacent worked reconstruction creates a narrow next question: which reassurance element should survive a further controlled exposure?

    Record state
    Illustrative handoff
    Evidence boundary
    Uses the adjacent synthetic decision record as an input; no client test is represented.
    Next controlled action
    Run a three-cell exposure separating delivery reassurance from shipping progress.
    Reuse rule
    Retain the eligible-session definition, primary gate, guardrails, and decision owner with the record.
  2. LR-025 Pre-launch hypothesis

    Route benefit-led shoppers to proof before product detail.

    A secondary opportunity remains a hypothesis until the audience, evidence signal, and counterfactual are specific enough to test.

    Record state
    No outcome observed
    Evidence boundary
    Evidence review required before the item enters a controlled experiment portfolio.
    Next controlled action
    Audit entry-page evidence and define the comparison journey before authorization.
    Reuse rule
    Keep the original decision context and exclusion criteria so the hypothesis is not reused as a result.
  3. LR-026 Research intake

    Validate paid-social landing clarity before it competes for exposure.

    The opportunity is held at intake until the audience-message mismatch and likely measurement window are established.

    Record state
    Research required
    Evidence boundary
    No outcome observed; this is a scoped research question, not a forecast.
    Next controlled action
    Collect route-level evidence and specify the counterfactual before ranking the item.
    Reuse rule
    Preserve the uncertainty note and review date with the proposed next action.
Repository rule

A learning remains reusable only when the decision context, counterfactual, scope, integrity checks, and next action travel with it.

Claim boundary

This synthetic workspace does not represent client experiments or realized commercial outcomes.

Method record Illustrative framework / no observed outcome
01

Causal lift framework

Tell a real result from random movement.

It pulls apart what actually changed, what you'd have seen anyway, how confident you can be, and what any of it is worth commercially.

Method figure Figure 01 / analytical interpretation This is a source deliverable for method inspection, not a product interface.
Open evidence record Research model / TX-METH-CRO-01
Artifact
Research model
Evidence status
Illustrative framework / no observed outcome
Record ID
TX-METH-CRO-01
Record
Causal-lift interpretation framework / no client outcome shown
Decision question
Is this movement credible enough to change your roadmap?
Source record / TX-METH-CRO-01 Research method plate Curated source deliverable / method artifact, not a live product view
Tangentix experimentation framework / illustrative values
What Tangentix found
The same headline lift pointed to two opposite decisions once the baseline and the uncertainty were on the table.
Decision that follows
Scale, iterate, or stop based on the real effect, not which variant "won".

What your team receives

An experiment plan your team can run and trust.

It brings the friction, the ranked opportunities, the test design, the guardrails, the owner, and what you'll learn into one brief.

  1. 01A ranked opportunity model
  2. 02Experiment portfolio
  3. 03Decision and learning briefs

How we'll know it worked

  • Incremental conversion or contribution
  • How fast you decide and ship tests
  • Whether learning carries across journeys
  • Real value vs. forecast

Start with conversion opportunity and evidence review

Turn your next experiment into a real decision.

Bring the friction your roadmap can't settle. We'll find the evidence you need before you run the test.

Work with us

Capture record
Decision question
Presentation
What it doesn't prove
High-resolution evidence preview