Feedvisor – The algorithmic repricing solution

HOW WE LET OUR PRODUCT DESIGN ITSELF

Feedvisor’s Revenue Intelligence Dashboard

- a case study

Feedvisor – The algorithmic repricing solution

A bit of Background

• Feedvisor is a repricing solution for Amazon Sellers

• We manage over 300,000 products, worth over $2b

• We make over 25 million pricing decisions every single day, based on billions of data points.

Feedvisor – The algorithmic repricing solution

A bit of Background cont.

• Established in 2011

• Mid 2012 – 3 employees

• Mid 2013 – 10 employees

• Mid 2014 – 35 employees… and still growing!

• Strong financial and technical backing from Israel and the US.

Feedvisor – The algorithmic repricing solution

The customer demand

• Customers wanted access to their data, to monitor their KPIs and make strategic decisions.

• Prior to this, we’d use all their data for accurate repricing but hadn’t shown them their performance along the way.

Feedvisor – The algorithmic repricing solution

Our challenge

• Find out what data was the most critical to the customer.

• Display data in a clear and accessible way, without overloading the user.

Feedvisor – The algorithmic repricing solution

The answer –Organic product design

• Essentially, we let the customers design the product.

• They show us exactly what they want without us directing the process in any specific direction.

• No initial interviews, questionnaires or prototyping (yes, we broke all UX/UI rules ).

Feedvisor – The algorithmic repricing solution

Organic product design – the process

• First, we gave the customer exactly what they asked for – the raw data!

• It looked something like this…

Feedvisor – The algorithmic repricing solution

Organic product design – the process

• We told them to analyse the data however they wanted and to send it back to us with any calculations or formulas they had used in their analyses.

• This is what they sent back…

Feedvisor – The algorithmic repricing solution

Organic product design – the process

• We then offered to pre-insert all these formulas and calculations for them.

• We sent the data back to them and told them to analyse it again.

Feedvisor – The algorithmic repricing solution

Organic product design – The process

• We repeated this process numerous times, each time taking their comments and edits and improving our version of the spreadsheet.

• This took over 10 iterations, over which time we added complex formulas, graphics, and even alerts!

Feedvisor – The algorithmic repricing solution

What we learnt

• This was the best way to learn. Rather than the user telling us what they thought they wanted, they showed us what they actually needed.

• We discovered exactly what the user cares about. (stock, prices, inventory, sales, profits…)

• We discovered exactly what the user needs in order to make decisions.(margins, trends, selling potential, replenishment…)

Feedvisor – The algorithmic repricing solution

Traditional UI methods

• We then reverted to traditional UI methods in order to tweak and refine our product.

• Interviews, questionnaires and prototyping.

Feedvisor – The algorithmic repricing solution

First 5 Sketches –Ordered by complexity

Feedvisor – The algorithmic repricing solution

First 5 Sketches –Ordered by complexity

Feedvisor – The algorithmic repricing solution

First 5 Sketches –Ordered by complexity

Feedvisor – The algorithmic repricing solution

First 5 Sketches –Ordered by complexity

Feedvisor – The algorithmic repricing solution

First 5 Sketches –Ordered by complexity

Feedvisor – The algorithmic repricing solution

Final Sketches

Feedvisor – The algorithmic repricing solution

Final Sketches

Feedvisor – The algorithmic repricing solution

Wireframes

Feedvisor – The algorithmic repricing solution

Wireframes

Feedvisor – The algorithmic repricing solution

FINAL PRODUCT

Feedvisor – The algorithmic repricing solution

THANK YOU

Any Questions?

Feedvisor – The algorithmic repricing solution