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Product Manager shortlist

34 analysed PM applicants, ranked by PM rubric score. The AI recommends; you decide who moves forward.

Shortlisted by you (3)

Rank
1
Shrey Marathe
SelectedSentRecommend shortlist
Score
80/100
Why shortlisted / key strengths
Problem -> Change -> Result
The candidate provides multiple strong, direct examples of identifying friction or operational problems, implementing product or workflow changes, and measuring clear outcomes (e.g., boosting CRM bot active users from 3 to 200, achieving an 18% conversion lift on listings, and cutting $20K annually by replacing third-party software).
Builds Repeatable Ways of Working
The CV shows the candidate built an internal ticketing tool from concept to production that replaced Suptask and became the operational standard, saving $20K annually. Additionally, they designed reusable discussion formats scaled across 30+ sessions.
Key concerns
No weak criteria.
Interview brief

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 →
Rank
2
Megha Gupta
SelectedSentRecommend shortlist
Score
77/100
Why shortlisted / key strengths
Problem -> Change -> Result
The candidate provides repeated, strong examples connecting their personal actions to measurable operational improvements. These include reducing work order closure time by 38%, cutting unplanned shift downtime from 14% to 8%, and catching 3 quality escapes through a revised documentation process.
Evidence-Led Decisions
The CV shows a clear example of prioritizing and refining feature functionality directly based on incoming field feedback over multiple iterations. The candidate links this evidence-led approach to a visible positive outcome in client NPS feedback.
Key concerns
Carries Ambiguous Problems Through to Closure
The CV contains examples of solving operational issues across shifts and tracking follow-up results, but lacks explicit detail on navigating cross-functional stakeholder alignment, organizational ambiguity, or managing complex escalations through to closure.
Interview 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 →
Rank
2
Kabir Mehta
FinalistRecommend shortlist
Score
77/100
Why shortlisted / key strengths
Problem -> Change -> Result
The candidate provides multiple clear examples of identifying problems, implementing specific changes, and achieving measurable results. These include designing a returns triage process that cut cycle time by 2 days and cleared backlogs, building an integration that unlocked 5 stalled enterprise accounts, and creating a shift handover checklist that resolved dispatch delays.
Evidence-Led Decisions
There is a direct and clear example of killing a launched feature based on adoption metrics, redirecting resources to an alternative feature that subsequently achieved top NPS. The entry clearly explains the reasoning, the decision made, and the positive downstream result.
Key concerns
Carries Ambiguous Problems Through to Closure
While the candidate managed operational peaks and operated as a sole PM navigating roadmap ownership, the CV lacks a detailed example of coordinating a messy, cross-functional issue through to resolution, including deliberate follow-up after an immediate fix.
Interview 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.

Rank
4
Priya Krishnan
AnalysedRecommend shortlist
Score
73/100
Why shortlisted / key strengths
Problem -> Change -> Result
The candidate provides multiple clear examples of identifying operational friction, implementing targeted product or process changes, and achieving measurable outcomes (e.g., reducing exceptions by 34%, cutting integration timelines in half, and decreasing dwell time by 1.8 days).
Evidence-Led Decisions
The CV highlights a clear instance of stopping/killing 3 shipped features based on post-launch adoption data (<8%) despite positive qualitative discovery signals. It also notes feeding ongoing discovery findings directly into sprint planning.
Key concerns
Carries Ambiguous Problems Through to Closure
While the CV mentions routine exception resolution and leading an improvement initiative, it lacks evidence of navigating an ambiguous, cross-functional issue, managing an escalation or failure, and following up after the immediate resolution.
Interview brief
Written when you shortlist.
Open decision map
Rank
5
Rohan Sane
AnalysedRecommend shortlist
Score
72/100
Why shortlisted / key strengths
Problem -> Change -> Result
The candidate provides multiple strong examples where they identified a friction point, delivered a product change, and achieved quantifiable business outcomes, such as reducing onboarding time and manual intervention.
Evidence-Led Decisions
The candidate explicitly demonstrates evidence-led decision-making where experimental data directly altered product release decisions. However, detailed post-decision results for those specific altered releases are not elaborated beyond the counts.
Key concerns
Carries Ambiguous Problems Through to Closure
The CV shows proactive collaboration with client success to prevent escalations, but lacks any concrete example of driving a messy, multi-functional issue or escalation from identification through to post-resolution closure.
Interview brief
Written when you shortlist.
Open decision map

Other applicants (29)

RankCandidateScoreMain concernStatus
6Ananya Rajan
Borderline
69Carries Ambiguous Problems Through to ClosureAnalysedView
7Arjun Verma
Borderline
56Carries Ambiguous Problems Through to ClosureAnalysedView
7Deepika Nair
Borderline
56Carries Ambiguous Problems Through to ClosureAnalysedView
9Rohan Basu
Borderline
55Evidence-Led DecisionsAnalysedView
9Virat Patel
Borderline
55Builds Repeatable Ways of WorkingAnalysedView
11Aditi Sharma
Below shortlist
51Builds Repeatable Ways of WorkingAnalysedView
12Deepak Yadav
Below shortlist
49Evidence-Led DecisionsAnalysedView
13Meera Krishnan
Below shortlist
48Carries Ambiguous Problems Through to ClosureAnalysedView
14Suresh Raj
Below shortlist
47Carries Ambiguous Problems Through to ClosureAnalysedView
15Nishant Joshi
Below shortlist
46Evidence-Led DecisionsAnalysedView
16Prashant Kumar
Below shortlist
45Carries Ambiguous Problems Through to ClosureAnalysedView
17Sneha Patil
Below shortlist
44Carries Ambiguous Problems Through to ClosureAnalysedView
18Nikhil Sharma
Below shortlist
41Evidence-Led DecisionsAnalysedView
19Manish Kapoor
Below shortlist
40Evidence-Led DecisionsAnalysedView
20Karan Das
Below shortlist
39Evidence-Led DecisionsAnalysedView
20Aryan Kulkarni
Below shortlist
39Builds Repeatable Ways of WorkingAnalysedView
20Sneha Kulkarni
Below shortlist
39Builds Repeatable Ways of WorkingAnalysedView
20Rohan Mehta
Below shortlist
39Evidence-Led DecisionsAnalysedView
24Harsh Reddy
Below shortlist
34Evidence-Led DecisionsAnalysedView
25Vivek Patil
Below shortlist
32Evidence-Led DecisionsAnalysedView
25Tanvi Jain
Below shortlist
32Carries Ambiguous Problems Through to ClosureAnalysedView
27Rahul Gupta
Below shortlist
25Evidence-Led DecisionsAnalysedView
28Akash Verma
Below shortlist
24Builds Repeatable Ways of WorkingAnalysedView
29Ravi Kumar
Below shortlist
21Evidence-Led DecisionsAnalysedView
30Divya Menon
Below shortlist
20Builds Repeatable Ways of WorkingAnalysedView
31Kavya Patel
Below shortlist
18Builds Repeatable Ways of WorkingAnalysedView
32Ravi Shankar
Below shortlist
13Problem -> Change -> ResultAnalysedView
33Aditya Nair
Below shortlist
12Problem -> Change -> ResultAnalysedView
34Shiva Kumar
Below shortlist
5Problem -> Change -> ResultAnalysedView