Global Supply Model Phase 1 (Research)
Created Date | Jun 8, 2023 |
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Target PI | PI4 |
Target Release | |
Jira Epic | |
Document Status | Review |
Epic Owner | @Bram Velthuis |
Stakeholder | @David Beauchamp @Jeff Hoffman (Deactivated) |
Engineering Team(s) Involved | LMI Models |
PART 1
NOTE: This epic is for the first phase of research for the Global Workforce Supply Model
Customer/User Job-to-be-Done or Problem
A global supply model is an amalgamation of governmental lmi and social profiles data to estimate how many workers work in a given occupation in a given region. There are many uses;
Global labor supply estimates provide a comprehensive view of the global workforce and its distribution across different regions and countries. By analyzing these estimates, customers/researchers can gain insights into labor market trends, such as the availability of skilled workers, workforce demographics, and potential labor shortages or surpluses. This understanding aids in assessing the competitiveness of different regions or countries in terms of labor resources.
Comparative analysis is made possible by global labor supply estimates, allowing anyone to compare labor markets across different countries or regions. This analysis helps identify opportunities and challenges in specific locations.
Labor supply estimates serve as inputs for economic models and forecasting, enabling researchers to develop more accurate models to predict labor market outcomes. By incorporating these estimates into research, researchers can analyze the potential effects of policy changes or economic shocks on the labor market and make informed forecasts.
Value to Customers & Users
Gains:
Comprehensive Insights: A global labor supply model provides customers with a comprehensive understanding of labor market dynamics worldwide. It offers insights into the availability, distribution, and characteristics of the global workforce. Customers can access valuable data on labor trends, demographics, and skill sets, enabling them to make informed decisions related to their businesses or research.
Comparative Analysis: The model allows customers to compare labor markets across different countries or regions. They can assess factors such as labor costs, skill levels, and workforce demographics, helping them identify attractive locations for business expansion, outsourcing opportunities, or talent acquisition. Comparative analysis assists customers in optimizing their strategies and making informed decisions based on labor market competitiveness.
Risk Mitigation: By leveraging a global labor supply model, customers can identify potential risks and challenges in labor markets. They gain insights into labor shortages or surpluses, demographic shifts, and skill gaps, allowing them to proactively address these issues. This risk mitigation capability helps customers avoid disruptions to their operations, anticipate labor market changes, and plan resource allocation effectively.
Policy and Regulatory Analysis: Customers, particularly those operating globally, can utilize the labor supply model to analyze labor policies and regulations across different countries. This information is valuable for compliance purposes, understanding labor standards, and assessing the impact of policy changes on their operations. Customers can stay updated on labor-related regulations and make informed decisions aligned with local labor laws.
Pains:
Data Accuracy and Quality: One of the challenges of a global labor supply model is ensuring the accuracy and reliability of the data used. Customers may face difficulties in accessing high-quality data from diverse governmental sources and validating its accuracy.
Complexity and Interpretation: The interpretation of global labor supply data can be complex, especially when dealing with diverse labor market structures, varying definitions of employment, and different data collection methodologies across countries. A ‘simple’ global labor supply model would provide a simple starting point.
Value to Lightcast
Lightcast professes to be the global leader in labor market data. By having reasonable data on labor supply per occupation globally we give credibility to the brand and that statement.
Target User Role/Client/Client Category
Enterprise, Government, Education
Delivery Mechanism
How will users receive the value?
TBD
Success Criteria & Metrics
This epic is the first phase; research. We will know if the research was successful if we can build a framework that reliably produces global supply estimates that pass the ‘sniff test’ for any market and that fit in the current engineering stack at Lightcast or if the research indicates that such a model is not feasible.
Aspects that are out of scope (of this phase)
What is explicitly not a part of this epic? List things that have been discussed but will not be included. Things you imagine in a phase 2, etc.
Delivery
Customer input
Validation of model
PART 2
Solution Description
Early UX (wireframes or mockups)
<FigmaLink>
Non-Functional Attributes & Usage Projections
Consider performance characteristics, privacy/security implications, localization requirements, mobile requirements, accessibility requirements
Dependencies
Is there any work that must precede this? Feature work? Ops work?
Legal and Ethical Considerations
Just answer yes or no.
High-Level Rollout Strategies
Initial rollout to [internal employees|sales demos|1-2 specific beta customers|all customers]
If specific beta customers, will it be for a specific survey launch date or report availability date
How will this guide the rollout of individual stories in the epic?
The rollout strategy should be discussed with CS, Marketing, and Sales.
How long we would tolerate having a “partial rollout” -- rolled out to some customers but not all
Risks
Focus on risks unique to this feature, not overall delivery/execution risks.
Open Questions
What are you still looking to resolve?
Is a global supply model feasible?
Complete with Engineering Teams
Effort Size Estimate | |
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LMI | 1 |
Models | 1 |
Estimated Costs
Direct Financial Costs
Are there direct costs that this feature entails? Dataset acquisition, server purchasing, software licenses, etc.?
Team Effort
Each team involved should give a general t-shirt size estimate of their work involved. As the epic proceeds, they can add a link to the Jira epic/issue associated with their portion of this work.
Team | Effort Estimate (T-shirt sizes) | Jira Link |
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LMI | Small | |
Models | Small |
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