How can a Data Analyst use the canvas for ad-hoc data requests?
Even for ad-hoc data requests, the Information Product Canvas is a valuable pattern template
How can a Data Analyst use the canvas for ad-hoc data requests?
Even for ad-hoc data requests, the Information Product Canvas is a valuable pattern template. A Data Analyst can use it in three different ways depending on the situation.
First, if the stakeholder is willing, the Data Analyst can walk them through the entire canvas process in 30 minutes or less. This provides the structure to quickly understand the business questions, expected actions, personas, delivery types, data sync, and key data needs, without turning the data request into a long and drawn out requirements gathering process.
Second, if the stakeholder is unwilling to spend 30 minutes, the Data Analyst can apply a simplified version of the canvas. By focusing only on the essential areas, the business question, the action or decision it supports, and who will use the information, the Data Analyst can still ensure they are trying to solve the right problem.
Third, if the Data Analyst has already completed the ad-hoc request, they can fill in the canvas afterwards. Documenting what was asked, why it was needed, and what was delivered means that when the stakeholder returns months later asking for a tweak, refresh, or major change, the Data Analyst won’t have to rely on vague memories or starting from scratch.
Using the canvas, even lightly, turns a quick data request today into an easier iteration tomorrow.