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5, 4, 3, 2, 1….

One small step for design, one giant leap for alignment

Let’s face it, everyone thinks they know the right way to solve the problems any audience or set of users has, and the more time that’s spent discussing the it, the more sure people are that their answer is right. But, none of us are as right as we think we are.

Traiditional whiteboard meetings fail because people aren’t listening to each other. They’re waiting for their chance to tell you why they’re right. Competing visions merge with ego to create either stagnation or the dreaded design by committee.

Enter the Rocksauce Design Sprint – a process designed to build consensus fast, and take your from concept to prototype and user validation in just 5 days.

BOOK A PLANNING SESSION ON US

5, 4, 3, 2, 1 …

One small step for design, one giant leap for alignment

Let’s face it, everyone thinks they know the right way to solve the problems any audience or set of users has, and the more time that’s spent discussing the it, the more sure people are that their answer is right. But, none of us are as right as we think we are.

Traiditional whiteboard meetings fail because people aren’t listening to each other. They’re waiting for their chance to tell you why they’re right. Competing visions merge with ego to create either stagnation or the dreaded design by committee.

Enter the Rocksauce Design Sprint – a process designed to build consensus fast, and take your from concept to prototype and user validation in just 5 days.

BOOK A PLANNING SESSION ON US

Already have a software process…

But we already have a software process…

There’s a better way

Typical
Learning Cycle

2 – 12 months or more to find out if you got a flop

Rocksauce Design Sprint
Learning Cycle

1 week to see if you got something that your users love!

Reduce your Cost to Happiness by getting clear user input in days, not months, using modern prototyping advances and expert facilitators. Learn from data and pivot while stakeholder enthusiasm and focus are still high, and make key go/no-go decisions on feature sets before any major expenditures on coding even begins.