Agile Data Guides

This cohort is suitable for students in a USA timezone

USA - October

USA - June

Suitable for students in UK and European timezones

UK and EMEA - June

Cohort 1

USA - July

UK and EMEA - July

UK and EMEA - August

This cohort is suitable for students in Australia and New Zealand timezones

NZ - June

UK and EMEA - October

UK / EMEA November 27th

This cohort is suitable for students in USA and NZ timezones

USA November 28th / NZ November 29th

USA - August

This cohort is suitable for people in UK and EU timezones

UK / EU June 27th  (10am - 3pm BST / 11am - 4pm CST)

Suitable for students in UK and EMEA timezones

UK and EMEA

USA November 13th / NZ November 14th

USA April 3rd / NZ April 4th

UK / EU July 18th  (10am - 3pm BST / 11am - 4pm CST)

USA Dec 16th / NZ 17th Dec

This cohort is suitable for people in US timezones

US June 17th  (12pm - 5pm PDT / 3pm - 8pm EDT)

USA Jan 30th / NZ Jan 31st

US July 10th  (12pm - 5pm PDT / 3pm - 8pm EDT)

USA Mar 27th / NZ Mar 28th

USA Feb 27th / NZ Feb 28th

UK / EU March 26th  (9am - 2pm GMT / 11am - 4pm EET)

UK / EU April 30th  (9am - 2pm GMT / 11am - 4pm EET)

USA May 29th / NZ May 30th

This cohort is suitable for students in NZ and AU timezones

NZ/AU June 27th (10am-3pm NZT / 8am-1pm AST)

NZ/AU July 18th (10am-3pm NZT / 8am-1pm AST)

NZ/AU August 27th (10am-3pm NZT / 8am-1pm AST)

US August 6th (12pm - 5pm PDT / 3pm - 8pm EDT)

UK / EU August 29th  (10am - 3pm BST / 11am - 4pm CST)

Opps

US September 12th (12pm - 5pm PDT / 3pm - 8pm EDT)

NZ/AU September 18th (12pm-5pm NZT / 10am-3pm AST)

US April 2nd (8am - 1pm PST / 9am - 2pm MST / 10am - 3pm CST / 11am - 4pm EST)

US March 3rd (8am - 1pm PST / 9am - 2pm MST / 10am - 3pm CST / 11am - 4pm EST)

UK / EU February 26th  (9am - 2pm GMT / 11am - 4pm EET)

US May 5th (8am - 1pm PST / 9am - 2pm MST / 10am - 3pm CST / 11am - 4pm EST)

Creator of Information Product Canvas

Shane Gibson 

Creator of the Information Product Canvas, 10+ years coaching data teams

Gather data requirements in 30 minutes using a shared language

Digital Training Performance Researcher

Data and AI Leader

Manager

Data Platform Manager

Sr. Data Product & Operations Manager

Chapter Lead - Data Engineering

Stop boiling the ocean, capture requirements in a repeatable way. Requirements your stakeholders love and data teams can build from

“Thats not what I wanted”“But thats what you asked for!” If this sounds familiar, then chances are your struggling with some of the following: 🚩 Your stakeholders and your data team seem to be speaking VERY different languages 🚩 Gathering data requirements takes too long 🚩 The process of gathering data requirements is not fun for you or your stakeholders 🚩 Your stakeholders needs and your data requirements are full of ambiguity (no matter how hard you try) 🚩 Your data team cannot work out what to build from the data requirements you capture 🚩 Your data requirements are full of the what, but not the why 🚩 You capture screeds of detailed data requirements that are never used In my 1 x 5-hour masterclass workshop, you will learn learn how to solve these problems by using the Information Product Canvas pattern to gather data requirements in 30 minutes or less, using a shared language. ✨ Become the data universal translator in your organisation✨ Capture needs clearly and quickly with a proven template✨ Get fast stakeholder feedback while you are in the room✨ Give the team enough to build, without noise and distraction✨ Build trust by linking requirements to real actions and actions

How many times have you heard this.... 

Become the data universal translator in your organisation

Capture stakeholder needs and data requirements

Empower data teams with everything that they need to build

Create trust within your stakeholders

This is a live course. Over 50% of the course is hands on team work going through a case study to "learn by doing".

You need to attend the live session in person to participate

You need to attend the live session in person to participate. Access to the content is available on the companion website after the course.

The course is not recorded

Any automated AI transcription bot will not be accepted into the session.

No "AI Bots"

Business Analysts who are gathering data requirements on behalf of their data teams

Data Product Managers who need to define and prioritise the data work coming up

Data Analysts who want to agree upfront the outcome of the work they are about to do for their stakeholder

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Gather data requirements in 30 minutes using a shared language