Pilot Active · Q2 2026

Product Journey
Scorecard

An evidence-based view of customer journey health — across every product we build

01 — The Problem

Our roadmap is built on what
we think — not what we know.

💬

Opinion-led priorities

Roadmap decisions are driven by stakeholder opinion, competitive reaction, and technical opportunity — without a consistent customer evidence base.

Research arrives too late

Research is pulled to the moment of highest pressure — just before a decision — where validation is the only useful mode. That's a diminished use of the capability.

📁

Intelligence gets lost

Findings live in reports that don't get referenced again. No shared, maintained view of what we know about our customers and where they're struggling.

02 — What It Does

One system. Every journey.
Continuously scored.

🏦

Core

Registration
Sign-In
Deposit
Withdrawal
Verification (KYC)
Responsible Gambling
Account Management
Self-Serve Help

Sports

Sports Home
Browse Bets
Search Bets
In-Play Betting
Bet Builder / SGP
Betslip
My Bets / Settle
🎰

Gaming

Gaming Home
Browse Games
Search Games
Game Launch
In-Game Experience
03 — How Scoring Works
Layer 01

Finding

One specific observation from one source. Atomic, source-tagged, and auditable from the moment it enters the system.

Layer 02

Insight

Researcher's interpretation of a pattern across findings. Approved before it affects any score. This is the quality gate.

Layer 03

Journey Score

Calculated from approved Insights. Never manually entered. Starts at 7.0 — functioning but unexceptional.

Composite Score
Behavioural
40%
Qualitative
40%
Business Weight
20%
Baseline 7.0 · Every number is auditable · Updates quarterly
Priority Bands
Act Now Score falling · Critical signals active
Watch Stable but risk emerging
Maintain Healthy score, trend holding
04 — What You See

Three audiences.
One source of truth.

Leadership · CPO, Directors

The Dashboard

Journey Health — Q2 2026
Bet Builder / SGP 3.8 Act Now
In-Play Betting 5.2 Watch
Sign-In 7.8 Maintain
Score · Trend · Priority · Top Insight
Product Team · PMs, Lead Designers

The Action Queue

Active this week
Search returns irrelevant results — direct abandonment observed
Icon-only nav causing confusion — majority of users affected
1–2s lag affecting platform trust perception
Active Insights · Action Status · Weekly Signals
Evidence · Anyone challenging a score

The Audit Trail

Filter findings by
FullStory Qual Research EKG Audit Critical
Every finding, linked directly to the source report in SharePoint. The full evidence trail behind every score.
Every Finding · Source Links · Full Filter
05 — The Intelligence Layer

Every source traceable.
No black boxes.

📋
Research Reports
Qual Research · Continuous
AI extracts structured findings. Researcher reviews, corrects, and approves before anything affects a score.
📊
FullStory Behavioural
Behavioural Signal · Weekly
Rage clicks, funnel drop-offs, dead clicks, error recovery. A continuously updated, customer-driven signal feed.
🔍
EKG Gaming Audit
External Audit · Periodic
Independent professional audit. Sub-category scores translated to structured findings via a defined severity mapping.
📄 Source Report
Structured Finding
Researcher-Approved Insight
Journey Score
Source identity preserved at every level. Every score is fully auditable.
Phase 2 → Support & Complaints Data Live Business Data AI Cross-Document Synthesis
06 — Where We Are

Pilot Active.
Already running.

Wk 1

Foundation Complete

Strategy, data model, scoring rubric, and source registry defined. Notion databases live. Extraction prompt validated against the 8X Vision Sprint — strong results.

This week

Researcher Validation — In Progress

Charley reviewing findings, validating severity and journey tagging, grouping findings into draft Insights. Director approves first set.

Next
3

Back Catalogue Input & Data Validation

Researchers run extraction across existing reports and back catalogue. Findings validated, tagged, and grouped into Insights before any scoring begins. Data integrity is the gate.

Then
4

Prototype → Feedback & Iteration

Scorecard prototype shared with a small group for structured feedback. Findings surfaced, design iterated, model stress-tested against real use.

V1
5

First Version Built & Ready to Deploy

Validated scorecard, clean data, and a stable UI — ready to present to product leadership as the opening baseline.

07 — The Ask

This is a prototype.
Here's what turns it into the real thing.

Seven asks from this room — none of them huge individually, all of them necessary.

01

Your feedback on what you've seen

Does the model make sense? Would you use it? Where does it fall short? Your reaction now shapes what we build next.

02

Help to define and confirm your journeys

We have a proposed canonical list. We need each product area to validate it — names, boundaries, and any missing journeys — before findings start being tagged.

03

Screenshots of those journeys

One set of screenshots per journey step, so everyone in the room is looking at the same thing when a finding is discussed. Manually maintained to start.

04

Business data to seed the scores

Monthly user volume and revenue band per journey, entered by you. This is the one input that only you can provide — and it's what makes a score a business case.

05

Protected researcher time

The back catalogue won't get processed if Charley and Kevin are pulled into delivery validation. This needs director-level air cover — not a request they can make themselves.

06

A named contact per product area

One person in Sports, Gaming, and Core who owns the journey definitions for their domain and keeps them current as product evolves.

07

Engineering support for FullStory instrumentation

Phase 2 — the behavioural layer — is entirely blocked until journeys are properly tagged in FullStory. That's a meaningful engineering ask that needs sponsorship to get prioritised. The sooner it's scoped, the sooner the data gets real.

Presenter Script