Director, Product Strategy & Operations

Product Strategy Presentation

Matthew Cheung Man Lok β€” Transforming TradeBeyond from Feature Factory to Product Engine

πŸ—οΈ

Product as an Asset

Scalable platforms over bespoke agency work.

πŸ“ˆ

Outcome-Driven

Success = adoption and ROI, not features shipped.

🀝

Collaborative Governance

Aligning Eng, Sales, and Product through frameworks.

Matthew Cheung Man Lok
Head of Product, Lalamove
15+ years experience
14 regional markets
About the Presenter

Matthew Cheung

Head of Product Β· Marketplace & Logistics Leader
15+ years cross-functional experience Β· 8+ years Product Management at Alibaba, Lazada & Lalamove
Current Role
Lalamove Β· Head of Product, Marketplace
2021 – Present Β· Hong Kong
  • β–Έ Led marketplace system incl. pricing engines, ML matching & loyalty programs
  • β–Έ Drove 16–36% order value increase across SEA, LATAM & MEA markets
  • β–Έ Scaled product team from 2 to 7 senior PMs across 14 regional markets
  • β–Έ Deployed ML models on OCR & fraud detection, +10% matching rate
Previous Experience
Lazada Group (Alibaba) Β· VP, Product Management
2020 – 2021 Β· Hong Kong
  • β–Έ Cross-border logistics re-platforming with Alibaba β€” 20% cost/package efficiency
  • β–Έ Integrated Taobao, Tmall & Cainiao for seamless cross-border ops
Lazada Β· Sr. Manager, Product & Transportation
2016 – 2019 Β· Singapore & Hong Kong
  • β–Έ Reduced cross-border lead times by 10%; 100%+ YoY package volume growth
  • β–Έ Negotiated 3PL contracts β€” 10% lower unit costs, 8–12% overall savings
Core Strengths
Marketplace Strategy
Pricing engines Β· ML matching Β· Loyalty
Product Leadership
Team scaling Β· C-level influence Β· 70+ staff
Logistics & Ops
Cross-border Β· 3PL Β· Supply chain optimization
Data & AI
SQL Β· Python Β· ML Β· OCR Β· Fraud detection
Strategic Fit

Why TradeBeyond?

Domain Alignment

Deep roots in logistics and supply chain β€” Master's in Global Strategic Supply Chain Management, TNT Express leadership experience.

⚑

The Inflection Point

TradeBeyond has immense engineering power (180 resources) and market share (110 top retailers), but requires a shift from a reactive 'feature factory' to a proactive product engine.

βœ…

Proven Execution

I have navigated this exact transition β€” shifting massive logistics operations from fragmented setups into governed, high-efficiency enterprise platforms.

01
Part One

The Opportunity

Understanding where TradeBeyond is today β€” and the transformative potential ahead.

Current State

The TradeBeyond Product Portfolio

8
Products
3
Core Areas
110+
Retailer Customers
180
Eng & QA Resources
πŸ”§

PLM & Sourcing

Product Lifecycle Management
Sourcing Management
Supplier Collaboration
βœ…

Quality & Compliance

Quality Management
Compliance Tracking
Audit Management
πŸ“¦

Order Management

Order Processing
Fulfillment Tracking
Today: No company-wide documentation standard, release management process, or KPI framework β€” each product area tracks and communicates progress differently.
The Problem

The Legacy Challenge: Feature Factory β†’ Product Engine

πŸ“¦

Volume Without Focus

100s / year

Hundreds of enhancements delivered annually β€” many small, some large β€” mostly driven by customer requests or sales opportunities rather than strategic priorities.

πŸ’Έ

Poor ROI

Under-monetized

Many enhancements are never fully commercialized. Built for specific customers or lost sales opportunities β€” providing minimal return on engineering investment.

πŸ“‰

Low Adoption

Under-adopted

Large installed base of capability that is under-adopted, under-monetized, and expensive to maintain. Technical debt and complexity grow faster than customer value.

🎯

The Goal: Refine, Don't Expand

TradeBeyond's product goal is not to build more products β€” it's to refine and enrich what we already have to become the most competitive offering in the market, and drive commercialization.

02
Part Two

Core Principles & Commercialization

How we build β€” and how we ensure what we build actually drives value.

Foundation

Core Product Principles

01

Build Once, Sell Many

We are a SaaS product company. Every enhancement must serve the broader market, not single accounts. If only one customer needs it, they fund the full lifecycle.

02

Value = Adoption

A feature is incomplete until target customers are actively utilizing it. Delivery β‰  success β€” usage and business impact define success.

03

Ruthless ROI

No engineering effort begins without a justified business case. Every investment must be measurable and defensible.

Commercialization

The Commercialization Flywheel

GTM strategy is defined before development begins β€” not after.

1
πŸ“‹

Define & Package

Identify GTM owner, pricing model, and packaging strategy before writing code.

β†’
2
πŸ› οΈ

Build with Purpose

Every sprint ties back to a commercial outcome. Adoption metrics defined upfront.

β†’
3
πŸ“£

Enable & Launch

Sales enablement, marketing assets, and customer comms ready at launch.

β†’
4
πŸ“ˆ

Adopt & Measure

Track MAU, win rate, and ROI. Feed insights back into prioritization.

πŸ›‘οΈ

The Commercialization Guarantee

No feature ships without a named GTM owner, a defined packaging strategy, and a 90-day post-launch adoption target.

Adoption Strategy

Adoption-Driven Development

A feature is not "done" when it ships β€” it's done when customers are using it and it's driving revenue.

Phase 1
🎯

Define Success

Set specific 90-day adoption targets and success metrics in the product brief.

Phase 2
πŸ“£

Go-to-Market Ready

Sales enablement, in-app onboarding, and customer comms built alongside the feature.

Phase 3
πŸ“Š

Track & Measure

Monitor MAU, activation rate, and time-to-value from day one. Unified dashboard across all products.

Phase 4
πŸ”„

Iterate or Sunset

If adoption lags, investigate and fix. If it still doesn't work β€” sunset it and reclaim capacity.

Why this matters: The legacy approach builds features and hopes customers use them. Adoption-Driven Development builds for adoption from day one β€” and has the data to prove it.

Governance

The Funding Gate (Before We Build)

Mandatory Product Briefs: Any initiative requiring >2 sprints of effort must pass a standardized funding gate.

Idea
β†’
Product Brief
β†’
Funding Gate Review
β†’
Development
Required Criteria for Approval:
πŸ“Š

Market TAM

How many of our 110 clients share this workflow friction? Quantified reach is mandatory.

πŸš€

Commercialization Plan

Identified GTM owner, packaging strategy, and pricing approach before development starts.

🎯

Success Metric

Specific 90-day post-launch adoption target. How will we know it's working?

03
Part Three

Strategic Prioritization

What we stop doing β€” and how we decide. Comparing apples to apples across all request types.

Prioritization

Strategic Prioritization β€” What We Stop Doing

πŸ›‘ STOP

Building one-off enhancements for single customers unless they fully fund development and long-term maintenance.
Equating "sales requested it" directly with "it is strategic." Sales input is vital β€” but it must be scored on the same framework.
Building features without adoption targets. If we can't define what success looks like, we shouldn't build it.

βœ… START

Using Expected Commercial Value (ECV) to rank all requests on a single, standardized framework.
Investing in platform-level improvements that benefit multiple customers and drive competitive differentiation.
Proactively sunsetting under-adopted features to reclaim engineering capacity for higher-ROI work.

πŸ“ The ECV Rubric β€” RICE Framework: One Score, All Request Types

Every request β€” customer-specific, sales-driven, or strategic platform β€” is scored on the same four dimensions:

R
Reach
# of customers affected
I
Impact
Revenue / retention value
C
Confidence
How proven is the case?
E
Effort
Engineering cost
Stakeholder Management

Managing the 'Not Now'

πŸ‘₯

For Customers

Root-cause problem solving

Shift from "No" to root-cause problem solving.

Discover the underlying workflow friction rather than just building the requested button. Understand the real need β€” there may be a platform solution that serves everyone.

Transparent roadmap with ECV ranking.

Customers see where their request ranks and why. It's not personal β€” it's a data-driven decision based on value to all customers.

πŸ’Ό

For Sales

Transparent, defensible decisions

ECV-ranked roadmap makes rejections defensible.

Sales sees that a requested $50K feature was paused to deliver a capability unlocking $2M in TAM. The math speaks for itself.

Sales is part of the process, not outside it.

Monthly Product Review includes Sales leadership. They help shape the roadmap β€” and understand the tradeoffs.

04
Part Four

Operating Model & Governance

How we organize capacity, align teams, and establish one way of working across all 8 products.

Resource Allocation

Operating Model & Capacity Allocation

Protecting the 180 Engineering Resources β€” Strategic allocation ensures we invest in sustainable growth while maintaining operational excellence.
60%
25%
15%
Strategic Product Growth (60%)

Core roadmap items driving commercial adoption.

KTLO (25%)

Maintenance, bug fixes, tech debt, and performance.

Tactical/Sales (15%)

Highly vetted, urgent customer/sales requests.

⚠️

Governance: Breaching the 60% strategic bucket for a massive sales opportunity requires escalation to the Executive Steering Committee (CEO, VP Product, Head of Tech). The default answer is "no" β€” we protect strategic capacity.

Implementation

Rollout Sequencing: 8 Products, One Standard

We don't change everything at once. We sequence the rollout to build momentum and prove value early.

Phase 1
Pilot
πŸš€

Highest-Revenue Product Line

Deploy the full framework (PRD template, ECV scoring, KPI dashboard, MPR) on the top-revenue product first. Prove the model works before scaling.

Phase 2
Scale
πŸ“ˆ

Remaining Products in Same Area

Roll out to the other products in the same core area (PLM & Sourcing, Quality & Compliance, or Order Management). Leverage learnings from Phase 1.

Phase 3
Expand
🌐

All 8 Products Across 3 Areas

Full rollout across the entire portfolio. By this point, the framework is proven, documented, and has internal champions.

Phase 4
Optimize
⚑

Refine & Accelerate

Fine-tune the framework based on real data. Start sunsetting under-adopted features. Cross-product comparison becomes routine.

Collaboration

Cross-Functional Operating Model

Product sits at the center β€” translating between customer needs, commercial goals, and engineering capacity.

Engineering

Capacity planning, tech debt, delivery

βš™οΈ

Senior Management

Strategy, investment decisions, MPR

πŸ‘”
🎯

Product Strategy

ECV scoring Β· Funding gate Β· KPI framework Β· One way of working

πŸ’Ό

Sales

Customer needs, market intel, GTM alignment

πŸ‘₯

Customers

Adoption, feedback, success metrics

Weekly Triage
PMs + POs + Tech Leads
Monthly Product Review
Product + Tech + Sales + CEO
Quarterly Roadmap
ECV-based planning cycle
Operating Rhythm

Governance & Working Rhythms

πŸ“…
Monthly

Monthly Product Review (MPR)

Cross-functional forum (Product, Tech, Sales, CEO). Review past release adoption data and pitch next quarter's roadmap based on ECV scores. Decisions are data-driven and transparent.

⚑
Weekly

Weekly Triage

PMs, POs, and Tech Leads assess incoming enhancements. Route to the 15% tactical bucket, reject immediately, or escalate to MPR for strategic consideration.

πŸ“
Ongoing

Documentation Standard

Unified PRD template and release management process across all 8 products. Sequenced rollout starting with the highest-revenue product line. One way of working.

Leadership

Peer Leadership β€” Aligning PMs & POs

🎯

Influence Without Authority

Lead the 3 PMs and 6 POs through standardized frameworks rather than top-down dictation. Build alignment through shared tools, clear processes, and demonstrable results β€” not hierarchy.

βš–οΈ

Objective Conflict Resolution

Competing demands are resolved by the unified PRD standard and ECV score. Data dictates priority, removing bias and politics. PMs and POs understand the framework β€” and trust the outcome.

πŸ’ͺ

Empowerment

Shift POs from tactical backlog administrators to strategic partners who own cycle-time efficiency. Give them the frameworks, data, and authority to make decisions β€” and hold them accountable for outcomes.

05
Part Five

Performance Measurement

How we track success across all 8 products β€” and what happens when metrics move the wrong way.

Measurement

KPI Framework β€” Four Lenses of Value

βš™οΈ
Delivery
Cycle Time (Idea β†’ Production)
Cadence Sprintly / Monthly
Owner Product Owners
πŸ’°
Commercialization
Win Rate % for Feature in Demos
Cadence Quarterly
Owner PMs / Sales
πŸ“ˆ
Adoption
Feature Monthly Active Users (MAU)
Cadence Monthly
Owner Product Managers
πŸ“Š
Financial Return
ROI (ARR Unlocked / Dev Cost)
Cadence Bi-Annually
Owner Dir. Product Strategy
Like-for-like comparison: All 8 products measured on the same four dimensions, enabling leadership to compare progress across all three product areas.
Management Loop

The Performance Management Loop

Targets are set, measured, reviewed, and acted upon β€” in a continuous cycle.

🎯

Set Targets

Baseline + stretch goals per product. PMs co-own targets.

β†’
πŸ“Š

Measure

Unified dashboard. Real-time visibility across all 8 products.

β†’
πŸ”

Review

MPR monthly. Deep dive quarterly. Leadership visibility.

β†’
πŸ”§

Act

Adjust course. Invest more. Or sunset and reallocate.

PMs measured on
Adoption + Commercialization
POs measured on
Cycle Time + Delivery Quality
Reviewed by
MPR (monthly) + Exec (quarterly)
Remediation

What Happens When Metrics Move the Wrong Way

Bad metrics aren't failures β€” they're signals. The response depends on severity and pattern.

1

Diagnose (First Month)

PM + PO dig into the data. Is it a measurement issue? An adoption problem? A quality issue? Root cause identified within 2 weeks of the signal.

2

Action Plan (Month 2)

Written remediation plan with specific actions, owners, and timelines. Presented at the next MPR. Options: UX improvements, sales enablement, pricing changes, or targeted customer outreach.

3

Re-assess (Month 3-4)

Did the action plan work? If metrics are improving, continue and monitor. If not, escalate to the next level and consider more drastic measures.

4

Sunset or Reallocate (Quarter 2)

If a feature consistently underperforms despite remediation, it's time to stop investing. Reallocate engineering capacity to higher-ROI opportunities. Communicate clearly to customers and Sales.

πŸ’‘
The Key Insight
Knowing when to stop investing is as important as knowing what to build. The framework makes sunsetting data-driven β€” not political.
06
Part Six

The Roadmap

First 90 days and 12-month vision β€” how we get from here to there.

Roadmap

The First 12 Months vs. First 90 Days

1
Days 1-30
Audit
Interview 3 PMs, 6 POs, and Sales/Eng leaders. Audit legacy backlog and current release processes.
Days 31-60
Design
Deploy standard PRD template and ECV rubric. Finalize the 60/25/15 capacity allocation with the Head of Tech.
2
3
Days 61-90
Implement
Execute the first Monthly Product Review (MPR). Launch unified Adoption KPI dashboard across all 8 products.
Months 3-12
Scale
Full commercialization alignment with Sales. Sunset un-adopted legacy features. Achieve a unified, high-ROI operating model.
4
Milestones

90-Day Success Metrics

What "winning" looks like at the 90-day mark β€” concrete, measurable outcomes.

πŸ“‹

Framework Deployed

100% of PMs and POs trained on ECV scoring and PRD template. Pilot product running on the new standard.

πŸ“Š

Visibility Established

Unified KPI dashboard live for all 8 products. Leadership can compare performance on a like-for-like basis.

βš™οΈ

Rhythm Running

First MPR completed with cross-functional attendance. Weekly triage operational. Capacity allocation agreed and in effect.

🎯

First ECV-Prioritized Roadmap

Next quarter's roadmap built using the ECV framework and approved at MPR.

πŸ”„

First Sunset Decisions

Identify and begin decommissioning 2-3 lowest-adoption features to reclaim capacity.

Sales Alignment

Sales leadership bought into the framework. Transparent roadmap shared.

Risk

Key Risks & Mitigations

⚠️

Sales Pushback

Risk: Sales resists the funding gate and ECV scoring, seeing it as slowing them down.
Mitigation: Involve Sales leadership in MPR from day one. Show the data β€” higher-ROI features win more deals long-term.
πŸ”„

Change Fatigue

Risk: PMs and POs resist new processes on top of their existing workload.
Mitigation: Sequenced rollout. Start with one product. Prove it saves time and reduces chaos. Let early adopters become advocates.
πŸ“‰

Short-Term Revenue Dip

Risk: Saying "no" to customer-funded custom work could feel like lost revenue in the short term.
Mitigation: Frame it as investment vs. cost. The 60% strategic bucket drives far more ARR than one-off work. Track the pipeline impact explicitly.
🧩

Data Availability

Risk: Adoption and usage data may not be readily available across all 8 products today.
Mitigation: Start with what we can measure. Build the KPI dashboard incrementally. Set baseline even if imperfect β€” direction matters more than precision.
Summary

The Transformation in One View

🎯

From Feature Factory…

  • Hundreds of enhancements / year
  • Customer & sales-driven
  • No standard process
  • Under-adopted features
  • Under-monetized capability
  • 8 products, 8 ways of working
⚑

The Shift

  • ECV scoring framework
  • Funding gate before build
  • Commercialization first
  • Adoption = success
  • 60/25/15 capacity model
  • One standard, all products
πŸš€

…To Product Engine

  • Most competitive in market
  • Strategic, data-driven roadmap
  • High adoption & ROI
  • Commercialized by design
  • Leadership has visibility
  • Sustainable growth engine
πŸ’¬

Thank you β€” Questions?

Matthew Cheung Man Lok Β· Director, Product Strategy & Operations Candidate

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