M&S Digital Labs: Lean product development, fast feedback & leopard print dresses

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M&S Digital Labs Lean product development, fast feedback (& leopard print dresses) @hemalkuntawala

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Transcript of M&S Digital Labs: Lean product development, fast feedback & leopard print dresses

Page 1: M&S Digital Labs: Lean product development, fast feedback & leopard print dresses

M&S Digital Labs

Lean product development, fast feedback (& leopard print dresses)

@hemalkuntawala

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• About M&S Digital Labs 5 minutes

15 minutes• One of our products

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About M&S Digital Labs

Lean startup techniques…

…kick-start products and experiences…

…our customers wouldn't expect to see from M&S

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* Not to scale, or very accurate

*

Online Desktop, tablet, mobile

Stores High Street, Simply Food, Outlet

Marketing Digital

Marketing Offline

Marketing Branding, campaigns

Ops Stock, forecasting

Ops Trading, fulfilment

Ops Supply chain

About M&S Digital Labs

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Build

Measure

Learn

Insight & assumptions

ProductData

Value proposition Customer

segmentsMarketing channels

Business model canvas Customer

development

Validate assumptions

Developers

Designers

Continuous deployment

Autonomy

Extreme programming

Design thinking

UX

User testing

Acquisition

Activation

Revenue

Referral

Retention

Split tests Product/market fit?

Vision, instinct & obsession…

Behaviour

IA

MVP

Lean startup (& product management)

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Insi

ght

&

assu

mpt

ions

Prod

uct

Dat

a

Our models alienateCan’t outfit Our brands

confuse

What happens to conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

One of our products

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What happens if we remove our brands?

The product: Style Board

Prod

uct What happens to

conversion if we remove models?

Would our customers create and view outfits?

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The dataD

ata

Prod

uct What happens to

conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

Let’s have a look…

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1250

2500

3750

5000

Month October November December January February

Traffic

Sign ups 52% conv.

Boards 39% conv.

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The dataD

ata

Prod

uct What happens to

conversion if we remove models?

Would our customers create and view outfits?

• 52% visitors signed up • 39% users created a

board

• Traffic from Style Board converts 36% higher

What happens if we remove our brands?

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The dataD

ata

Prod

uct What happens to

conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

• 52% visitors signed up • 39% users created a

board

• Traffic from Style Board converts 36% higher

Let’s have a look…

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Brand mix

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The dataPr

oduc

t What happens to conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

Dat

a • 52% visitors signed up • 39% users created a

board

• Traffic from Style Board converts 36% higher

• Brands are mixed and matched

More data!

Category mix Product relationships

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Category mix

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The dataPr

oduc

t What happens to conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

More data!

Dat

a • 52% visitors signed up • 39% users created a

board

• Traffic from Style Board converts 36% higher

• Brands are mixed and matched

Category mix • Some popular categories could

be better soldProduct relationships

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BehaviourOpinion

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Product relationships • Relationship data could produce

better product suggestions

Product category mix • Popular categories could be

better sold

The dataPr

oduc

t What happens to conversion if we remove models?

What happens if we remove our brands?

Would our customers create and view outfits?

More data!

Dat

a • 52% visitors signed up • 39% users created a

board

• Traffic from Style Board converts 36% higher

• Brands are mixed and matched

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Version 2 • Increase engagement • Increase quality • Increase conversion • Lick of paint • Use as a marketing channel • Wherever else the data takes us…

Version 1 • Isolated app (mandsstyleboard.com) • Login via Facebook • (Minimal) engagement mechanics • Deep links • Responsive • Shipped in 4 weeks • Traffic from M&S Facebook

What’s next?

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Online Desktop, tablet, mobile

Stores High Street, Simply Food, Outlet

What else you can expect from us

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Freq

uenc

y

Purchase-cycle speed

High

Low

Slow Fast

Women’s wear

Men’s wear

Homeware

Food

Flowers

Suits

Shirts

Sofas Kitchen ware

Dresses

TopsShoes

Bottoms

UnderwearHandbags

Lingerie

Mainly onlineOnline aided by offline

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Thanks!

@mnslabs