Search Relevance Organizational Maturity Model MICES 2019 Berlin | - PowerPoint PPT Presentation

Search Relevance Organizational Maturity Model MICES 2019 Berlin | Eric Pugh | @dep4b

Search Relevance Organizational Maturity Model “The Missing Ingredient” MICES 2019 Berlin | Eric Pugh | @dep4b

People are the Magic Ingredient! Sebastian leading the conversation at yesterday’s E-commerce Search for Product Managers class MICES 2019 Berlin | Eric Pugh | @dep4b 3

4

5

Understand Experiment Content Data Business Search Tech UX User Needs Driven Enrichment Inventory Business Producing Innovative Varied, Develops Ops supports stakeholders quality data Discovery NLP & Data complex, Advanced custom A/B testing & use real-time from (chatbots, science team large-scale plugins offline tests KPIs analytics etc) data Some user Complex Available, but Moderate Occasional testing / relevance UI supports Taxonomies / Practitioner complex data reporting basic config; uses findability Ontologies experiments complexity analytics plugins Test search Business No query Stock or Minor manually, 10 search Very simple Baseline impact not logs or user moderately enrichment deployed links on page data model measured testing tweak config (synonyms) rarely OSC’s Maturity Model for Search Teams MICES 2019 Berlin | Eric Pugh | @dep4b 6

Understand Experiment Content Data Business Search Tech UX User Needs Driven Enrichment Inventory Business Producing Innovative Varied, Develops Ops supports stakeholders quality data Discovery NLP & Data complex, Advanced custom A/B testing & use real-time from (chatbots, science team large-scale plugins offline tests KPIs analytics etc) data Some user Complex Available, but Moderate Occasional testing / relevance UI supports Taxonomies / Practitioner complex data reporting basic config; uses findability Ontologies experiments complexity analytics plugins Test search Business No query Stock or Minor manually, 10 search Very simple Baseline impact not logs or user moderately enrichment deployed links on page data model measured testing tweak config (synonyms) rarely OSC’s Maturity Model for Search Teams MICES 2019 Berlin | Eric Pugh | @dep4b 7

Understand Experiment Content Data Business Search Tech UX User Needs Driven Enrichment Inventory Business Producing Innovative Varied, Develops Ops supports stakeholders quality data Discovery NLP & Data complex, Advanced custom A/B testing & use real-time from (chatbots, science team large-scale plugins offline tests KPIs analytics etc) data Some user Complex Available, but Moderate Occasional testing / relevance UI supports Taxonomies / Practitioner complex data reporting basic config; uses findability Ontologies experiments complexity analytics plugins Test search Business No query Stock or Minor manually, 10 search Very simple Baseline impact not logs or user moderately enrichment deployed links on page data model measured testing tweak config (synonyms) rarely OSC’s Maturity Model for Search Teams MICES 2019 Berlin | Eric Pugh | @dep4b 8

Understand Experiment Content Data Business Search Tech UX User Needs Driven Enrichment Inventory Business Producing Innovative Varied, Develops Ops supports stakeholders quality data Discovery NLP & Data complex, Advanced custom A/B testing & use real-time from (chatbots, science team large-scale plugins offline tests KPIs analytics etc) data Some user Complex Available, but Moderate Occasional testing / relevance UI supports Taxonomies / Practitioner complex data reporting basic config; uses findability Ontologies experiments complexity analytics plugins Test search Business No query Stock or Minor manually, 10 search Very simple Baseline impact not logs or user moderately enrichment deployed links on page data model measured testing tweak config (synonyms) rarely OSC’s Maturity Model for Search Teams MICES 2019 Berlin | Eric Pugh | @dep4b 9

Maturity Model Lays out where you are, now do we have the team to get there? MICES 2019 Berlin | Eric Pugh | @dep4b 10

Step 1: Brainstorming “The Work” of the Search Team MICES 2019 Berlin | Eric Pugh | @dep4b 11

Step 2: Cluster the Tasks MICES 2019 Berlin | Eric Pugh | @dep4b 12

Step 2: Clustering Tasks Together MICES 2019 Berlin | Eric Pugh | @dep4b 13

Step 3: Naming the Roles MICES 2019 Berlin | Eric Pugh | @dep4b 14

Trying to Learn to Rank before they can Walk! MICES 2019 Berlin | Eric Pugh | @dep4b 15

“App and Ops Focused” Team Starting to Think about Relevance MICES 2019 Berlin | Eric Pugh | @dep4b 16

“Search is a Team Sport” MICES 2019 Berlin | Eric Pugh | @dep4b 17

Thanks! Lets talk: epugh@o19s.com www.o19s.com @dep4b MICES 2019 Berlin | Eric Pugh | @dep4b 18