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PYROS Deep Dive: Metrics

PYROS Deep Dive: Metrics

PYROS Deep Dive 3: Metrics and creating an analytics tracking plan

Regan Davis

March 10, 2022

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  1. regan davis product leader from chicago, il BACKGROUND EIR @

    1871 Sr. Director of Product @ SpotHero Advisor, Coach regandavis.com VP of Product @ Jellyvision VP of Product @ info.com
  2. regandavis.com ACQUISITION how do people fi nd you and (eventually)

    turn into customers? how good is their fi rst customer experience? ACTIVATION (Credit:Melanie Blake via Medium)
  3. regandavis.com User/Logo retention: % of new users who are still

    active 3-6 mo. later L7/L30 retention: Number of days that users are active per week/month RETENTION REFERRAL Invite rate: % of new users who sent at least one invite in the fi rst X days Invite conversion: % of received invites that sign-up in the next X days Virality factor: % of new users who have come from an invite (Credit:Melanie Blake via Medium)
  4. regandavis.com start with What’s the main goal of your user?

    Look Book Park compare parking options reserve and pre-pay for parking show up at garage to guaranteed spot
  5. regandavis.com next What are the paths they take to get

    there? • capture an event for each step in each path • create a funnel from the steps that are common
  6. regandavis.com track Events and Properties • Screen • Trigger •

    Action (Event) • Extra info (Properties) • Description
  7. regandavis.com “The only difference between screwing around and science is

    writing down your results.“ — Adam Savage, Mythbusters
  8. regandavis.com Users can’t run a quick search for a frequent

    destination. Improve conversion rate and create a personalized app experience. We hypothesize that Saved Addresses will help customers [search more quickly] and increase [conversion 50%*] • Search Landing Conv. Rate • Adoption Rate (from home screen) PROBLEM OPPORTUNITY METRIC HYPOTHESIS (*Note: numbers are obfuscated.) saved places
  9. regandavis.com assignment: 1. Take your user story map from Deep

    Dive #2 and underneath each step, add a metric to track. 2. Write a hypothesis statement for an extra feature on your product that lays out what change you expect to see and what metric you’ll monitor. Next week, you’ll share and workshop your hypotheses in breakouts. BUILD | deep dive #3