StackMoxie for Improve Operations
Employee Experience
Stack Moxie brings quality and scale to revenue operations. Stack Moxie runs automated testing across all configurations and integrations in your techstack. Tests can be run with synthetic data for QA, and can also monitor live data to make sure everything runs correctly.
Live Monitoring in Salesforce
Any field on any record on any standard or custom object in Salesforce can be monitored with Stack Moxie. This enables you to validate that your key workflows and processes are having the intended outcomes. Get alerts and notifications when something goes wrong. Detailed logs will help you quickly diagnose and fix any issues.
Regression testing at scale with Spreadsheet Triggers
Regression testing with spreadsheet triggers allows you to quickly create, run, and schedule tests of forms, campaigns, and other digital assets. This can start with a QA test, and once the page has launched, a regression test can be scheduled to catch future failures.
Automated QA Testing
Define the requirements for a program or web launch before it goes live, and QA test against those checkpoints. With Stack Moxie, you can simply put these checkpoints into a spreadsheet that automates the whole process.
Check Salesforce Usage for API
Salesforce monitors your organization’s individual limits through an object called “Tenant Usage Entitlements”. Depending on your organization and the features in your Salesforce Package, you will see different entitlements to track different product features’ use. To begin, pull the “Check Salesforce Usage” pill onto the canvas.
List Import Data Validation
List import allows MOPs Admins to enforce data requirements for List Uploads. CSVs uploaded to your MAP/CRM undergo automated data validation and allow you to review and fix errors.
Email Compliance Monitoring
Build Domain Reputation and Email Spam Abuse monitoring through Google's Postmaster API. Get alerts when your email sends exceed guidelines from Gmail.
Data Validation: Lead Normalization
Create a synthetic lead to validate that data normalization processes are being correctly implemented. This can be applied to any field. Examples might include Country Codes, phone number and ZIP Code formatting, and more.