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NATHAN CASPAR | SR. GROWTH ENGINEER | @NATHAN CASPAR
Mystique CLI
Minimizing the experiment development cycle
Content

hosting
Page

targeting
Audience

definitions
Experiment 

bucketing
Content

hosting
Page

targeting
Audience

definitions
Experiment 

bucketing
Content

hosting
Page

targeting
Audience

definitions
Experiment 

bucketing
Content

hosting
Page

targeting
Audience

definitions
Experiment 

bucketing
Why take the time and effort
to build out a command line
interface?
Atlassian's Mystique CLI, Minimizing the Experiment Development Cycle
MANUALLY CREATE EXPERIMENT
MANUALLY UPDATE EXPERIMENT COD
MANUALLY DEPLOY EXPERIMENT
MANUALLY TEST EXPERIMENT
IDEALISTIC
WORKFLOW
REALISTIC WORKFLOW
MANUALLY CREATE EXPERIMENT
MANUALLY UPDATE EXPERIMENT COD
MANUALLY DEPLOY EXPERIMENT
MANUALLY TEST EXPERIMENT
• Create & add audience targeting
• Create & add page targeting
• Create & add events
• Create variations
• Set traffic allocations
• Develop experiment code in local
• For each variation
• For each page
• Copy local code into web editor


• Save experiment
• Publish experiment
• For each targeted page
• Test page conditions
• Test audience conditions
• Test experiment visuals
• Test for bugs
MANUALLY CREATE EXPERIMENT
MANUALLY UPDATE EXPERIMENT COD
MANUALLY DEPLOY EXPERIMENT
MANUALLY TEST EXPERIMENT
• Create & add audience targeting
• Create & add page targeting
• Create & add events
• Create variations
• Set traffic allocations
• Develop experiment code in local
• For each variation
• For each page
• Copy local code into web editor


• Save experiment
• Publish experiment
• For each targeted page
• Test page conditions
• Test audience conditions
• Test experiment visuals
• Test for bugs
ANY CHANGE MEANS
A LOT OF SMALL MANUAL
STEPS
WHICH ADD UP
AND UP…
AND UP!
MANUAL STEPS ALSO
MEAN DEFECT
OPPORTUNITIES
WHAT WE WANT
Consistency
Efficiency
Simplicity
Atlassian's Mystique CLI, Minimizing the Experiment Development Cycle
Why not use an existing
CLI?
W
Design
Customization in how we design experiments
Development
Customization in how we build experiments
Analytics
Customization in how we perform post-analysis
Phenomenal
REST API
Extremely
Helpful support team
Be the change you seek
The many faces of Optimizely
Operations
Optimizely UI performance
Optimizely snippet performance
Optimizely maintenance
Developer
Simple development cycle
Keeping repo and Optimizely in sync
Quickly deploying and testing updates
Understanding when/where experiments ran
Accessing Optimizely results and raw data
Communicating all things experimentation
PM / Analyst
Atlassian's Mystique CLI, Minimizing the Experiment Development Cycle
Developer
Simple development cycle
Keeping repo and Optimizely in sync
Quickly deploying and testing updates
PM / Analyst
Understanding when/where experiments ran
Accessing Optimizely results and raw data
Communicating all things experimentation
Operations
Optimizely UI performance
Optimizely snippet performance
Optimizely maintenance
Atlassian's Mystique CLI, Minimizing the Experiment Development Cycle
Developer
Simple development cycle
Keeping repo and Optimizely in sync
Quickly deploying and testing updates
REPETITIVE
MANUAL STEPS
QUICK SIMPLE
COMMANDS
BASIC ACTIONS
SETUP
Projects
$ optx setup -pr
TokensTokens
 GET /projects
{
"Project": {
"key_metrics": [ 12345, 45678, 98765 ],
"prefix": "www.website.com",
"project_id": 3232345,
"qa_audience": 2975832345,
},
"QA Project":
{
"key_metrics": [ 53682, 48154, 70962 ],
"prefix": "qa.stg.website.com",
"project_id": 592823671,
"qa_audience": 8275362345,
}…
}
JSON
everywhere
Project config
Experiment
Personalization
Events
$ optx create -p=exp.json
CREATE | UPDATE | PRUNE
P13n Campaigns
TokensA/B Experiments
 POST /experiments
Events
Pages
Audiences
{
"type": "ab_experiment",
"jira_ticket": "BXPSCI-123",
"optx_project": "QA Project",
"experiment_name":"Opticon",
"experiment_description": "Demo for Opticon”,
"variations": ["Opticon demo"],
"page_paths_ids": ["/", "/software"],
}
JSON
everywhere
Project config
Experiment
Personalizatio
n
Events
JSON
everywhere
Project config
Experiment
Personalizatio
n
Events
{
"type": "personalization_campaign",
"jira_ticket": "BXPSCI-123",
"optx_project": "QA Project",
"campaign_name": "Opticon campaign",
"page_paths_ids": ["/software","/try"],
"experiences": [{
"exp_name": "Opticon experience 1",
“variations": [ "first variation”,
"second variation”]
},{
"exp_name": "Opticon experience 2",
"variations": [ "first variation v2",
"second variation v2"]}]
}
JSON
everywhere
Project config
Experiment
Personalizatio
n
Events
{
"type": "custom_events",
"project": "QA Project",
"events": [
{"key":"api_key_1", "name":"event name 1"},
{"key":"api_key_2", "name":"event name 2"},
{"key":"api_key_3", "name":"event name 3"}
]
}
COMPLEX ACTIONS
PROMOTION
EXP
launch
PROD
create
build/test
EXP
launch
QA
create
build/test
PR
EXP
launch
PROD
replicates
EXP
launch
PROD
DUPLICATION
EXP
launch
PROD
create
We want confirmation
duplicates
Time to product ionize
QA
Future Vision
Automating clean up
Handling project JS changes
Exposing experiment metadata
Working to open source
Atlassian's Mystique CLI, Minimizing the Experiment Development Cycle

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