Product Manager shortlist
34 analysed PM applicants, ranked by PM rubric score. The AI recommends; you decide who moves forward.
Shortlisted by you (3)
The candidate shows exceptional strengths in direct user discovery and connecting problem diagnosis to tangible outcomes, such as increasing CRM bot usage from 3 to 200 users and cutting $20K in software costs. They demonstrate solid ability in standardizing operational workflows and driving execution through launch. However, they fall short on demonstrating evidence-led decisions that involve stopping or pivoting failed initiatives, and show limited evidence of navigating contentious stakeholder conflicts or strategic ambiguity.
Probe: Evidence-Led Decisions (weight 20%): The rubric assessment highlights a lack of evidence where disconfirming data led to pausing, pivoting, or killing a project. The interview must probe whether the candidate can evaluate negative signals objectively or if they focus solely on finding incremental optimizations.
Questions & full brief →The candidate demonstrates strong execution in identifying root operational issues and linking product changes to quantifiable results, evidenced by a 38% reduction in work order closure time and active on-site discovery across client plants. They also show disciplined iteration based on field feedback and process standardization. However, they fall short on carrying ambiguous problems through to closure, showing little verified evidence of navigating organizational ambiguity, stakeholder conflict, or cross-functional alignment.
Probe: Carries Ambiguous Problems Through to Closure (weight 20%, score 2/5): The CV shows clear operational and product execution within well-defined scopes, but lacks evidence of managing cross-functional stakeholder conflict, organizational ambiguity, or unblocking complex dependencies to reach closure.
Questions & full brief →The candidate demonstrates exceptional execution on core product delivery and operational rigor, evidenced by hands-on discovery and a proven ability to redirect roadmap investments using adoption metrics. They align strongly with 'Problem -> Change -> Result' and 'Evidence-Led Decisions' through tangible wins in both supply chain software and operational environments. However, they fall short on 'Carries Ambiguous Problems Through to Closure', with limited evidence showing how they steer messy, cross-functional ambiguity through to sustained resolution.
Probe: Carries Ambiguous Problems Through to Closure (weight 20%, score 2/5). The CV lacks clear demonstrations of guiding complex, open-ended problems involving divergent cross-functional stakeholders through to sustained post-implementation closure; test how the candidate handles messy, unresolved problems where root causes and team boundaries are contested.
Questions & full brief →AI-recommended, awaiting your review (2)
Top 5 by PM score with at least 50/100.
Other applicants (29)
| Rank | Candidate | Score | Main concern | Status | |
|---|---|---|---|---|---|
| 6 | Ananya Rajan Borderline | 69 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 7 | Arjun Verma Borderline | 56 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 7 | Deepika Nair Borderline | 56 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 9 | Rohan Basu Borderline | 55 | Evidence-Led Decisions | Analysed | View |
| 9 | Virat Patel Borderline | 55 | Builds Repeatable Ways of Working | Analysed | View |
| 11 | Aditi Sharma Below shortlist | 51 | Builds Repeatable Ways of Working | Analysed | View |
| 12 | Deepak Yadav Below shortlist | 49 | Evidence-Led Decisions | Analysed | View |
| 13 | Meera Krishnan Below shortlist | 48 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 14 | Suresh Raj Below shortlist | 47 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 15 | Nishant Joshi Below shortlist | 46 | Evidence-Led Decisions | Analysed | View |
| 16 | Prashant Kumar Below shortlist | 45 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 17 | Sneha Patil Below shortlist | 44 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 18 | Nikhil Sharma Below shortlist | 41 | Evidence-Led Decisions | Analysed | View |
| 19 | Manish Kapoor Below shortlist | 40 | Evidence-Led Decisions | Analysed | View |
| 20 | Karan Das Below shortlist | 39 | Evidence-Led Decisions | Analysed | View |
| 20 | Aryan Kulkarni Below shortlist | 39 | Builds Repeatable Ways of Working | Analysed | View |
| 20 | Sneha Kulkarni Below shortlist | 39 | Builds Repeatable Ways of Working | Analysed | View |
| 20 | Rohan Mehta Below shortlist | 39 | Evidence-Led Decisions | Analysed | View |
| 24 | Harsh Reddy Below shortlist | 34 | Evidence-Led Decisions | Analysed | View |
| 25 | Vivek Patil Below shortlist | 32 | Evidence-Led Decisions | Analysed | View |
| 25 | Tanvi Jain Below shortlist | 32 | Carries Ambiguous Problems Through to Closure | Analysed | View |
| 27 | Rahul Gupta Below shortlist | 25 | Evidence-Led Decisions | Analysed | View |
| 28 | Akash Verma Below shortlist | 24 | Builds Repeatable Ways of Working | Analysed | View |
| 29 | Ravi Kumar Below shortlist | 21 | Evidence-Led Decisions | Analysed | View |
| 30 | Divya Menon Below shortlist | 20 | Builds Repeatable Ways of Working | Analysed | View |
| 31 | Kavya Patel Below shortlist | 18 | Builds Repeatable Ways of Working | Analysed | View |
| 32 | Ravi Shankar Below shortlist | 13 | Problem -> Change -> Result | Analysed | View |
| 33 | Aditya Nair Below shortlist | 12 | Problem -> Change -> Result | Analysed | View |
| 34 | Shiva Kumar Below shortlist | 5 | Problem -> Change -> Result | Analysed | View |