Groopit transforms human intelligence into high-quality, quantitative data, so everyone involved sees with the precision that leads to solutions. The platform includes 50+ Data Models for Employee Generated Intelligence. Start with a template, customize it, or create a data model from scratch. What problem do you want to solve?
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Increase Net Promoter Score (NPS)
Data model title: Customer Frustration
Data model quantifies: Quantify DSAT drivers and severity of customer frustration.
Data model outcome: Understand, prioritize and systematically remove DSAT drivers.
Data source: All customer-facing employees
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Increase win rate against competitors
Example Data Model: Competitive Pricing Intelligence
Data model quantifies: Quantify competitor pricing, terms, and business impact
Data model outcome: Understand competitive pricing with precision to then equip sellers with most effective offers, negotiation tactics and support.
Data source: All employees on account teams
Related data model examples:
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Competitive Product Intelligence
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Competitive Marketing Activity
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Competitive Weaknesses
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Competitive Expansion
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Competitive in Managed Account
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Competitive Intelligence
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Perfect retail execution
Data model title: In-store operations issues
Data model quantifies: Quantify display, execution, and all in-store operations problems.
Data model outcome: Understand operational issues precisely, prioritize, and reduce to increase sell-through, increase field efficiency, and decrease costs.
Data source: All field employees
Related data model examples:
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Store Visit
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New Sale
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Promotional Event
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Competitor Product
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Competitor Display
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Remove operational bottlenecks
Data model title: Operational bottleneck
Data model quantifies: Quantify types, frequency, and impact of operational issues.
Data model outcome: Diagnosis bottlenecks precisely, prioritize, refine processes, policy and training to drive operational excellence the business.
Data source: Any employee that use the operational processes
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Increase win rate with better products
Data model title: Product capability gaps
Data model quantifies: Quantify the product capability gaps that stall sales
Data model outcome: Influence product priorities and investments with quantitative proof of the product capabilities needed to win more business.
Data source: All sales and customer success employees
What intel do you need?
Solve any problem with a data model and intel from your most trusted source: employees.
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Product requests
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Product
bugs
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Security incidents
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Installation complete
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Huddle update
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Sales pipeline math
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Sales meeting occurred
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Venue discovery map
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Uncontracted sales oppt
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Win
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Loss
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Sales resource request
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Sales process inefficiency
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Selling time lost
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Positive customer quotes
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Reaction to new offer
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Field marketing activity
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Potential new partner
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Pricing issue
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Delivery issue
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Product mix issue
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Production delay
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Skills gap
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Recruiting delay
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Moment of unbelonging
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Diverse hiring outcome
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Hospital care delay
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Increase efficiency ideas
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Problem
Solved