The following is the level of detail by which we assess your target role, not even an applicant. You can see, below, how we broke down an example Product Manager role into over 30 different areas and how the AI will look to assess an applicant.
Title: Product Manager, Data & Product
Company: Example Company
Sector: Nonprofit, Disaster Relief and Employee Support Platform
Seniority Level: Mid to senior-level product management role with data focus
Career Track: Individual Contributor
Description: This role is a Product Manager position at a nonprofit organization focused on disaster relief and employee support, based on the East Coast. The role requires bridging product management with data analytics, using data to inform decisions and measure product impact, specifically in workflow-heavy platforms supporting emergency financial relief programs. The position involves collaborating with multiple teams, defining metrics, managing product roadmaps, and ensuring compliance, with the goal of improving the speed and effectiveness of assistance delivery to users during crises.
| Short Name | Importance | Skill Level Required |
|---|---|---|
| Determine next product steps | 9/10 | Advanced (applied theory) |
| Define and track metrics | 9/10 | Advanced (applied theory) |
| Cross-functional team collaboration | 9/10 | Advanced (applied theory) |
| Write user stories and requirements | 9/10 | Advanced (applied theory) |
| Product roadmap management | 9/10 | Advanced (applied theory) |
| Stakeholder expectation management | 9/10 | Advanced (applied theory) |
| Talk to platform users | 8/10 | Advanced (applied theory) |
| Analyze user data | 8/10 | Advanced (applied theory) |
| Write clear problems | 8/10 | Advanced (applied theory) |
| Launch and measure features | 8/10 | Advanced (applied theory) |
| Ensure compliance/privacy | 8/10 | Advanced (applied theory) |
| Risk identification and mitigation | 8/10 | Advanced (applied theory) |
| Continuous market awareness | 5/10 | Intermediate (practical application) |
| Skill | Importance | Level Required |
|---|---|---|
| Product Management | 10/10 | Intermediate (practical application) |
| Metrics Definition and Tracking | 9/10 | Advanced (applied theory) |
| Data-Driven Decision Making | 9/10 | Intermediate (practical application) |
| User Story Writing | 8/10 | Intermediate (practical application) |
| Roadmap Planning | 8/10 | Intermediate (practical application) |
| Product Analytics Tools | 8/10 | Intermediate (practical application) |
| Prioritization Methodologies | 8/10 | Intermediate (practical application) |
| User Interview Techniques | 8/10 | Intermediate (practical application) |
| Compliance Management | 7/10 | Intermediate (practical application) |
| SQL | 6/10 | Intermediate (practical application) |
| Social Impact Measurement | 5/10 | Novice (limited experience) |
| Business Intelligence (BI) Tools | 4/10 | Fundamental Awareness (basic knowledge) |
| R Programming | 4/10 | Not Applicable |
| Domain Knowledge: Fintech and Grants | 4/10 | Intermediate (practical application) |
| Python Programming | 3/10 | Not Applicable |
| Skill | Importance | Level Required |
|---|---|---|
| Problem Framing | 9/10 | Intermediate (practical application) |
| Prioritization | 9/10 | Advanced (applied theory) |
| Data-driven Decision Making | 9/10 | Intermediate (practical application) |
| User Research | 8/10 | Intermediate (practical application) |
| Cross-functional Collaboration | 8/10 | Advanced (applied theory) |
| Communication | 8/10 | Advanced (applied theory) |
| Stakeholder Management | 8/10 | Advanced (applied theory) |
| Strategic Thinking | 8/10 | Advanced (applied theory) |
| Adaptability | 7/10 | Intermediate (practical application) |
| Attention to Detail | 7/10 | Advanced (applied theory) |
| Curiosity | 6/10 | Advanced (applied theory) |
Full Description: Identify and prioritize what features or improvements should be built next by assessing platform needs and opportunities.
Importance: 9/10
Skill Level Required: Advanced (applied theory)