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Mohit Singh

Placed in Senior Product Manager by best fit (no role stated; scored higher on this rubric) · 13_mohit_singh.pdf
Private: squad_3@pg27.mesaschool.co · no phone found
Applied-role score
58/100
#3 of 16 SPM applicants
PM score
56/100
SPM score
58/100
Current status
Finalist
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1

Why they fit

  • Problem -> Change -> Business/Operational Result 20%

    The CV shows repeated, strongly quantified examples of identifying operational or business challenges, implementing direct interventions, and delivering substantial business results across EBITDA, conversion rates, and channel mix.

  • Creates Systems Others Run 15%

    The candidate has repeatedly developed operating systems, playbooks, governance cadences, and training systems that were adopted and operated by hundreds to thousands of employees across the organisation.

2

Where they fall short

  • Independent Decision Ownership −18 pts

    The candidate held senior operational roles and drove major initiatives like budget reallocation and turnaround efforts. However, the CV frames much of the work as a 'Founder's right-hand operator' and does not detail specific consequential decisions made under uncertainty or the explicit trade-offs faced without founder oversight.

  • Evidence-Led Prioritisation and Reversal −12 pts

    The candidate provides evidence of shifting marketing spend based on ROI signals and replacing manual audits with automated checks. However, the CV lacks an explicit example showing a clear reversal or material shift away from an earlier strategic direction prompted by new evidence.

  • Multi-Party Resolution Under Pressure −9 pts

    The CV mentions cross-functional alignment, vendor negotiations, and resolving bottlenecks as part of running the CEO cadence. However, it lacks specific evidence of managing through high-pressure crises, escalation processes, or failure post-mortems to full resolution.

3

Rubric breakdown: PM

CriterionWeightScoreWeightedAI reasoningEvidence from CV
Problem -> Change -> Result25% 4/520.0/25The candidate provides clear examples of addressing operational frictions and inefficiencies with new workflows or systems, backed by measurable outcomes. For instance, replacing infrequent manual audits with automated CCTV checks and re-engineering menus to lift conversion rates by 5% both demonstrate direct action linked to concrete results.
  • “Deployed AI-powered JARVIS for real-time hygiene and SOP checks via CCTV—replacing infrequent manual audits”
  • “Engineered menu and offers to boost aggregator conversion rate (menu to order) from 15% to 20% in mature stores”
Evidence-Led Decisions20% 3/512.0/20The CV shows at least one clear decision where budget was reallocated based on performance and ROI signals, leading to double-digit growth and better CAC. However, deeper context around hypotheses tested or post-mortem learnings is not detailed.
  • “Reallocated ₹1 Cr+ monthly marketing budget based on ROI signals → unlocked double-digit growth with improved CAC”
Builds Repeatable Ways of Working20% 4/516.0/20The candidate has designed multiple frameworks and systems that were adopted by others across the organization, including franchise revenue-cost playbooks and an enterprise learning management system. These artifacts clearly became repeatable operational methods rather than isolated tasks.
  • “Designed franchise-level revenue-cost playbooks → enabled early breakeven & ~90% store-level profitability”
  • “Launched org-wide LMS for 1K+ employees → accelerated frontline productivity and training throughput”
Carries Ambiguous Problems Through to Closure20% 2/58.0/20The CV mentions resolving cross-functional bottlenecks and orchestrating an EBITDA turnaround across pricing, costs, and operations. However, these are presented as high-level summary achievements rather than a detailed walkthrough of an ambiguous issue, escalation, or follow-through to closure.
  • “Ran CEO office cadence; unblocked priorities, resolved cross-functional bottlenecks, ensured targets stayed on track”
  • “Turned EBITDA from -37% to breakeven by redesigning pricing, cost structures, operational processes and unit economics”
Gets to the Source Before Designing the Fix15% 0/50.0/15There is no evidence in the CV of the candidate directly observing, interviewing, or shadowing end-users or frontline staff to uncover the root cause of a problem before designing an intervention.Evidence not present in the CV.
Total100%56The candidate demonstrates strong experience in operational execution, creating repeatable playbooks, and linking operational changes to measurable business metrics. However, the profile lacks evidence of firsthand user or customer discovery, and complex cross-functional challenges are framed at an executive summary level without detailed escalation-to-closure narratives.
Scoring scale
  • 0: No evidence in the CV
  • 1: Indirect or participation-only evidence
  • 2: Partial: some elements of the description, weak link to outcome
  • 3: One clear example matching the description
  • 4: Clear example with a visible result, candidate's own action linked to it
  • 5: Repeated, strong examples fully matching the description, with results

Weighted contribution = score ÷ 5 × weight. Every quote is checked against the CV text; if none can be verified, the score is capped at 1.

4

Evidence

Verified CV quotes used (SPM rubric)
  • “Reallocated ₹1 Cr+ monthly marketing budget based on ROI signals → unlocked double-digit growth with improved CAC” · Independent Decision Ownership
  • “Partnered with founder to lead $4M+ fundraise; owned narrative, outreach, diligence, closure without bankers” · Independent Decision Ownership
  • “Turned EBITDA from -37% to breakeven by redesigning pricing, cost structures, operational processes and unit economics” · Problem -> Change -> Business/Operational Result
  • “Strategised omnichannel GTM, growing own-channel sales from 18% to 53% and cutting aggregator dependency” · Problem -> Change -> Business/Operational Result
  • “Engineered menu and offers to boost aggregator conversion rate (menu to order) from 15% to 20% in mature stores” · Problem -> Change -> Business/Operational Result
  • “Built Meta-led acquisition engine reducing menu open cost by 20% vs aggregators, improving channel mix quality” · Problem -> Change -> Business/Operational Result
  • “Reallocated ₹1 Cr+ monthly marketing budget based on ROI signals → unlocked double-digit growth with improved CAC” · Evidence-Led Prioritisation and Reversal
  • “Deployed AI-powered JARVIS for real-time hygiene and SOP checks via CCTV—replacing infrequent manual audits” · Evidence-Led Prioritisation and Reversal
  • “Designed franchise-level revenue-cost playbooks → enabled early breakeven & ~90% store-level profitability” · Creates Systems Others Run
  • “Launched org-wide LMS for 1K+ employees → accelerated frontline productivity and training throughput” · Creates Systems Others Run
  • “Built growth model and redesigned org-wide incentives and ESOPs aligned to KPIs; led rollout, governance, and adoption” · Creates Systems Others Run
  • “Designed org structures, hiring frameworks, and role definitions — scaling the team from 40 to 200+ employees” · Creates Systems Others Run
  • “Ran CEO office cadence; unblocked priorities, resolved cross-functional bottlenecks, ensured targets stayed on track” · Multi-Party Resolution Under Pressure
  • “Served as a central execution node across demand and supply functions;aligned priorities and drove execution rigor” · Multi-Party Resolution Under Pressure
  • “Led strategic vendor negotiation with Coca-Cola → secured ₹1 Cr+ upfront value and achieved 35% input cost reduction” · Multi-Party Resolution Under Pressure
Outcomes stated in the CV
  • Turned EBITDA from -37% to breakeven
  • Partnered with founder to lead $4M+ fundraise without bankers
  • Grew own-channel sales from 18% to 53%, cutting aggregator dependency
  • Delivered 60%+ Cash-on-cash return on company-owned stores vs 25% industry benchmark
  • Achieved 25% SSSG in mature markets via cohort-based hyperlocal growth engine
  • Scaled team from 40 to 200+ employees and subsequently led 1K+ team across functions
  • Secured ₹1 Cr+ upfront value and 35% input cost reduction in vendor negotiations with Coca-Cola
  • Built Meta-led acquisition engine reducing menu open cost by 20% vs aggregators
Anonymised CV (exactly what the AI saw)
Gurgaon, Haryana • • • [PROFILE URL REDACTED]
Founder's Office→ Head of Strategy & Ops→ SVP | Scaled a Consumer Brand from 0 to 200+ stores
Founder’s right-hand operator enabling leverage, speed, and execution across the organization. 8+ years working closely with
founders to drive company-wide priorities from $4M+ fundraising and P&L turnaround (–37% to breakeven) to GTM and
scaling 1K+ teams. IIT Delhi graduate, known for institutionalizing execution through operating cadences, incentive systems,
and governance structures that align teams and deliver outcomes.
EDUCATION
Indian Institute of Technology Delhi (IIT Delhi) • B.Tech • 07/2013 - 05/2017
WORK EXPERIENCE
Burger [CANDIDATE] - Largest homegrown burger chain (198 store; 85 cities)
Senior Vice President (Revenue & Profitability) • 04/2024 - Present
• Reallocated ₹1 Cr+ monthly marketing budget based on ROI signals → unlocked double-digit growth with improved CAC
• Built Meta-led acquisition engine reducing menu open cost by 20% vs aggregators, improving channel mix quality
• Built a hyperlocal growth engine by segmenting stores into multiple cohorts → drove 25% SSSG in mature markets
• Designed franchise-level revenue-cost playbooks → enabled early breakeven & ~90% store-level profitability
• Led flagship GTM campaign “Big [CANDIDATE] Feast”→ 2 Cr+ reach, 15K+ registrations, largest single-day giveaway in category
• Engineered menu and offers to boost aggregator conversion rate (menu to order) from 15% to 20% in mature stores
Head Strategy & Operations • 04/2021 - 03/2024
• Served as a central execution node across demand and supply functions;aligned priorities and drove execution rigor
• Strategised omnichannel GTM, growing own-channel sales from 18% to 53% and cutting aggregator dependency
• Turned EBITDA from -37% to breakeven by redesigning pricing, cost structures, operational processes and unit economics
• Delivered 60%+ Cash-on-cash return on company-owned stores, outperforming 25% industry benchmark
• Deployed AI-driven speech analytics platform across 50+ stores—boosting CX consistency and revenue governance
• Deployed AI-powered JARVIS for real-time hygiene and SOP checks via CCTV—replacing infrequent manual audits
• Launched org-wide LMS for 1K+ employees → accelerated frontline productivity and training throughput
• Led strategic vendor negotiation with Coca-Cola → secured ₹1 Cr+ upfront value and achieved 35% input cost reduction
• Led 1K+ team across functions → drove execution across 500+ frontline operators at scale
Lead, Founder's Office (Chief of Staff–equivalent role) • 04/2019 - 03/2021
• Ran CEO office cadence; unblocked priorities, resolved cross-functional bottlenecks, ensured targets stayed on track
• Partnered with founder to lead $4M+ fundraise; owned narrative, outreach, diligence, closure without bankers
• Built growth model and redesigned org-wide incentives and ESOPs aligned to KPIs; led rollout, governance, and adoption
• Designed org structures, hiring frameworks, and role definitions — scaling the team from 40 to 200+ employees
• Built a hyperlocal pricing structure through competitive benchmarking — delivering 2X improvement in profitability
Business Analyst • 06/2017 - 03/2019
• Built internal analytics team; standardized KPIs and drove org-wide data-driven culture through cross-functional sessions
• Created 100+ page cross-functional dashboards to enable data-driven decisions across supply chain, sales, and operations
VOLUNTEERING & LEADERSHIP - IIT DELHI
General Secretary, National Service Scheme, IIT Delhi • 04/2016 - 03/2017
• Led NSS IIT Delhi’s 3-tier team of 31, enabling 1,000+ volunteers across 40+ projects & 30+ NGO partnerships.
SKILLS
Strategy & Growth
• Growth Strategy
• GTM Execution
• Tier 2/ 3 Expansion
Operations & Execution
• Operational Automation
• P& L Ownership
• Vendor Negotiation
Leadership & Tech
• AI Automation
• Fundraising
• People Development
Analytics Tools
• BigQuery
• Google Data Studio
• Tableau
[CANDIDATE] SinghMOHIT [CANDIDATE]
[EMAIL REDACTED]+91 97650 8231997650 82319 [CANDIDATE]-[CANDIDATE]-ops
Redacted: name ×6, email ×1, profile url ×1
5

Interview brief

The candidate demonstrates exceptional execution capability in commercial turnaround and building operational infrastructure, highlighted by shifting EBITDA from -37% to breakeven and instituting operating playbooks across large frontline teams. However, their demonstrated experience is heavily aligned with Chief of Staff and operational strategy rather than dedicated product management. They fall short on verifiable evidence of independent decision ownership free of founder direction, as well as formal evidence-led strategic reversals and crisis-level cross-functional conflict resolution.

Strongest evidence

Under Problem -> Change -> Business/Operational Result, turned EBITDA from -37% to breakeven through redesigning pricing, cost structures, and operational processes, while also shifting own-channel sales from 18% to 53%.

Biggest area to probe

Independent Decision Ownership (weight 30%): The CV consistently positions the candidate as a 'Founder's right-hand operator' and partner, leaving it unverified whether they have made consequential strategic decisions and navigated difficult trade-offs without founder backing or direction.

Important uncertainty

The extent to which the candidate possesses direct software product management experience (such as product discovery, backlog prioritisation, and technical trade-offs) versus high-level commercial operations and founder enablement.

Risks
  • Independent Decision Ownership: Candidate may be accustomed to operating under executive mandate and struggle when forced to own product ambiguity and risk alone.
  • Role Alignment: The candidate's background is rooted in business operations and revenue strategy rather than core software product lifecycle management.
Suggested interview questions
  1. When reallocating the ₹1 Cr+ monthly marketing budget based on ROI signals, describe an instance where the data conflicted with the founder's view or your own initial hypothesis. What trade-off did you make and what did you stop funding?
    Tests Independent Decision Ownership and Evidence-Led Prioritisation and Reversal to evaluate if the candidate can reverse decisions independently under conflicting inputs.
  2. In the EBITDA turnaround from -37% to breakeven, walk through a critical operational trade-off you decided and owned without founder oversight where the outcome was highly uncertain.
    Probes Independent Decision Ownership to separate the candidate's personal decision-making scope from the founder's direction.
  3. Can you give an example of an operational system or campaign, such as the Big Feast GTM or JARVIS rollout, that failed to achieve its intended objective? What evidence prompted you to pivot or pull back?
    Assesses Evidence-Led Prioritisation and Reversal by looking for how the candidate recognizes negative signals and manages strategic retreats.
  4. When serving as the central execution node across demand and supply functions, describe a high-stakes conflict where opposing team leads refused to align during an urgent deadline. How did you resolve it?
    Tests Multi-Party Resolution Under Pressure to verify cross-functional conflict resolution capabilities in acute, high-pressure environments.
6

Email draft

An offer or rejection draft is prepared once you make a decision. Nothing is ever sent without your approval.

Audit trail (5)
  • 9/29/2026, 11:39:32 AMsystemassessment generated{"model":"gemini:gemini-flash-latest"}
  • 9/29/2026, 11:37:14 AMsystemauto finalist{"role":"SPM","score":58}
  • 9/29/2026, 11:35:57 AMsystemanalysis completed{"PM_score":56,"SPM_score":58}
  • 9/29/2026, 11:35:57 AMsystemrole assigned best fit{"role":"SPM","PM_score":56,"SPM_score":58}
  • 9/29/2026, 11:29:30 AMsystemcv ingested{"file":"13_mohit_singh.pdf","role":"AUTO","redactions":{"name":6,"email":1,"profile_url":1},"name_detected":true}