» Each customer has their own unique journey to and through your product
» Conversion funnel analysis with bar charts is a conscious choice to maximise precision over accuracy
» Cart abandonment is an opportunity to engage with your users
» Conversion rate is a quantitative springboard to qualitative insights
» You can only tell if you’ve been successful if you can measure it
» Analytics approaches that work for others may not work in your context
» Behind every metrics is a behaviour
» The point of an experiment is to learn
» Don’t be driven by metrics — be informed by them
» The mental tendency to replace strategy with metrics can destroy company value
» Onboard your users all the way to becoming your best users
» 3 kinds of innovation: method, market and product
» Use sensitivity analysis to identify the make-or-break metrics for your business
» Your analytics approach needs to change over time to keep up with your evolving product
» Blindly copying best practices results in an imperfect copy
» Analytics tools don’t do the thinking for you
Hello! I’ve not published a great deal on the blog recently. In my defence, I’ve been doing a fair amount of paid writing work and my brain has run out of words temporarily. If you’re interested, I’m writing (then delivering) …
I gave a talk recently about how I’ve been using data and analytics to guide my decisions in product management. I’ve edited the transcript a little and split it into bite-size parts for your entertainment. This bit is about the benefits of open and transparent data.
A talk I gave in November 2016 for Logi Analytics about why building products should be data-driven, and how to do it.
If you’d have told me that August’s ProductTank London on analytics and decision-making would be one of the most risqué to-date, I’d have struggled to believe you. Take a look at the recap I wrote over on Mind the Product’s blog.
Everyone seems to be hyping Big Data right now. I think we’ve reached that slightly scary point where CEOs are aware of Big Data and are beginning to think it a panacea for all business ills. But I’m asking the question: what’s the big deal with Big Data?
