data product toolkit®
Page contains introduction to the Data Product Canvas set
Data product toolkit®
Data Product Toolkit consists of four canvases:
Data Product Value Propositions
Data Product Canvas.
Data Product Development Cycle
Data Asset Evaluation Canvas
Canvases are available as Miro boards, which can be filled in cooperatively online in a workshop. Miro boards contain detailed instructions on how to use canvases. Miro is free to start with (3 boards and unlimited teammates)
For those willing to use offline versions, canvases are available as PDF files too.
1. DATA PRODUCT VALUE PROPOSITION
Data Product must be built for purpose! Canvas focuses on customer and their needs. This canvas helps you to ensure product-market fit and identify customer's pains and gains as well as pain relievers.
2. DATA asset evaluation canvas
Typically customer problem is known and a solution as a data product is built to remove the customer's problem. What if the problems are not known and we still want to proceed? Then one option is to use "Data Asset Driven Product Exploration” approach.
It starts from evaluating your data assets first instead of jumping to filling in the data product value proposition canvas. In this approach we start from data and travel towards finding the customer problem and our first set of data products.
3. DATA PRODUCT Development cycle
Every digital product has a development cycle and it has to be tied to business and data strategy. It has to be managed and support iterative development with clear process. Data Product development cycle canvas offers ready-made model to manage data product development from emerging customer needs to product sunset. Canvas has adapted successful lean design driven development model to minimize waste.
4. DATA PRODUCT canvas
Canvas focuses on collecting product details in one spot. It is your product design template that you iterate until your team agrees that all aspects have been taken into account. Filled canvas helps you to communicate product purpose to business management, how to market it, estimate costs and how it is monetized.
5. DATA SOURCE LEGAL CONDITIONS CHECKLIST
You might use own data or purchased data in your data products. Agreements related to data might contain restrictions on reuse and reselling even if modified. Data might also contain GDPR data which needs to be taken into account.
Initial Data Source Legal Conditions checklist is now in development and will ease the work of data product owners. Checklist will provide initial guidance for data product design regarding legal issues.
How to get started?
Did you watch the introduction already - it's recommended as the first step.
Also read TERMS and CONDITIONS
Option 1: Online Miro template
This is the RECOMMENDED option. Note that you must have paid plan in Miro to use this option. Currently, you can upload the template to your Miro account by
downloading Data Product Toolkit version 0.8.3 package (release date 5.2.2021) and then
following the detailed instructions created by Miro.
What if I don't have paid Miro plan?
To enable also Miro free plan users to utilize our Data Product Toolkit®, we will publish the template in Miroverse as soon as possible. Then you can just click "Use template" from Miroverse to get started. We will update the guide after the template is available! Alternatively, you can use the PDF versions.
Option 2: PDF files
Canvases as one PDF file. Download, print and use!