In this talk I expand upon ways to measure the movement of your users’ or segments of users interactions with digital software products, towards our vision, strategic objectives and product goals.
Data is meaningless by itself and hard to sift through. Processed and structured data available to you and given in context in a way that you understand what it means. Occurs when after more and more information comes in and you are able to distill the information into knowledge. INSIGHTS INFORMATION DATA 10
❏ Social media re-engagement ❏ User feedback/ questions North Star Objective • Reduce the friction of sharing facts about election integrity. Metric ✓ Perceived ease of use/NPS ✓ Time to share i.e. clicks to complete 12 Behavioral Analytics provides insights
strategic goal What did they do after they interacted Did they miss, meet, or exceed objectives How many of them, where, who? If the metric doesn’t change how you behave, it’s a bad metric.
Find a potential improvement? Without data: make a good guess With data: find a commonality Hypothesis Design a test Make changes for production (or UAT environment) Measure the results Does it map to Strategy? Did you move the needle? Pivot or quit Success Analytics process is critical to validating outcomes 14
after one has taken action. Outputs refer to what is directly produced by an action…” Agile 2 | The Values and Principles The inputs outputs and outcomes of product strategy ~ Noble (Medium)
doesn’t change how you behave, it’s a bad metric. Track and optimize the One Metric that matters at a time for your product based on your business needs. A football score is easier to understand than golf scores Involve your policy, and security team to set the right guidance and governance in place. Setting strategy, objectives and roadmap for a large, complex applications takes time. Key pillars for measurable product outcomes 19 Lorem ipsum Lorem ipsum Lorem ipsum Lorem ipsum Start early Cross-functional Keep it simple One metric The right metric