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Problem Statement

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Improve the odds of Mesa students getting shortlisted for roles at top startups across the country by building a Career Outcome Engine

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Career Outcome Engine

A Programmable + Personalized System for High-Probability Hiring Outcomes

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Mesa's Career Outcomes Engine is not a placement drive. It's a high precision system aimed to put the right candidate, with the right proof, in front of the right recruiter, at the right moment.

This engine will help transform student’s background into credible, visible, proof of competence which when strategically distributed acts as a high value signal to the recruiters.

A mix of programmable frameworks and personalized strategy, all aimed at increasing the odds of being recruited at the right place.

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Core Principles

Non-Negotiables

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No Spray and Pray

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Applications don’t create outcomes. Signals do. Work on these signals

Strategic Bets > Broad Coverage

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To maximize probability of success.

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signalling 1-2 decision maker per company

Personal + Programmable

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The infra has to be programmable which leads to personalized output

End Goal

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Candidate Credibility → Recruiter Visibility → Higher conversion

User Persona 1: The Non-profit Pivot

User Persona 2: Engineer → PM

User Persona 3: The Fresher

User Persona 4: The Big 4 → Venture Capital

User Persona 5: Social Media Agency → Brand/Performance Marketing

User Persona 6: Ex Armed Forces → Business Leadership Roles

Proof of Work

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Role specific PoW for the user personas mentioned

Evidence of competence that converts attention into interviews

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Payal Taneja: The Fresher

Target: Business Analyst · Strategy & Ops

"Structured problem solver who learns and execute fast" is Payal's best sell

📊Unit Economics

Breakdown

Picked a D2C brand (The Whole Truth), broke down CAC, LTV, distribution data. Published on Notion, this shows commercial thinking without having held a job.

📍 Notion (public link)

BSL Case Study

(PDF)

Subko Coffee market expansion analysis: A real company, real brief, real founder feedback. Framed as a founder engagement, not a student project.

📍 PDF + Mesa BSL page

📝 Problem-to-Decision

Framework

A documented process: here's how I take a messy ambiguous problem and structure it into a 1-pager doc.

📍 Notion / Substack

Weekly Decision

Log

One business problem analyzed every week. Published publicly. Shows consistency, learning velocity, and intellectual curiosity, the only things a fresher can prove.

📍 Substack

Mini Execution Project (RARE SIGNAL)

Run a small experiment based project driving revenue, talking to users and getting more hands-on experience.

💬 LinkedIn: 'I was

wrong about X'

A post walking through a mistake in analysis, what she learned, and how she'd approach it differently tagging relevant folks. Social signalling and creating digital presence.

📍 LinkedIn

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Sanchit Madhura: The Non-Profit Pivot

Target: Chief of Staff · Founder's Office

"Someone who has solved real-world problem under limited resource, ambiguity and process-heavy environment" is Sanchit's best sell

📋 6-Month Ops

Plan (Live Co.)

Supertails gave Sanchit a live brief during BSL. He delivered a 6-month ops plan to scale their clinics ops. This is the bridge from NGO world to startup world.

📍 PDF + Mesa BSL

✍️ Structured Memos

A 2-pager on a business function (distribution / ops / marketing) signals analytical muscle and executive communication simultaneously.

📍 Notion / Substack

Stakeholder Map + Decision Log

Documented a multi-stakeholder problem from his Quality Council days translated into commercial language. Shows the same instincts work in startups, builds relevancy.

📍 Notion (public)

📊 P&L Literacy

Challenge

Self-assigned: pick a startup, read their financials (DRHP or public reports), build a one-page unit economics breakdown. Proof of commercial rigour.

📍 LinkedIn post

Founder Q&A Write-Up

After every Mesa founder session, publishes a 200-word, “what I took from this”' note. Signals high intent intellectual engagement, not just attendance.

📍 LinkedIn

Warm Intro

Outreach Log

Documented outreach attempts to Chiefs of Staff at startups; “72-Hrs. One Problem Statement” asking them for the most burning problem statement at hand and providing structured thinking on it.

📍 Email Outreach

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Arvind Girish: Engineer → PM

Target: Technical PM · AI/ML Product Manager

“Technical PM who can prototype and ship fast” should be Arvind’s best sell.

Product Teardown Repository

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GitHub repo: 3 in-depth teardowns (FirstClub, Zepto, Snabbit). Each covers user flows, edge cases, what's broken, and what to prioritise next. Shows product instinct publicly.

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📍 GitHub (public repo)

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📄 PRD (End-to-End)

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A PRD showcases PM thinking contains, problem, users, success metrics, P0/P1 features, tech constraints. Reviewed by a Mesa PM mentor. Shows the complete PM skillset.

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📍 Notion (linked from LinkedIn)

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Loom: Feature

Redesign Series

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5-7 mins of Documented form of UI/UX fixes in existing products to be captured as videos. Shows an intent of product-first mindset.

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📍 Loom (LinkedIn feature)

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💻 Working Prototype

(Claude/Codex)

Super-critical in today’s AI native world. The prototype is the proof, it shows he can compress idea-to-validation faster than any traditional PM.

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📍 GitHub + live demo link

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📊 Competitive

Analysis: AI Tools

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Signals how up-to-date he is in this fast paced AI world. Should cover positioning, moat, user targeting etc. Shows market awareness and structured thinking.

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📍 Notion / Substack

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Vishakha Singh: Audit Associate

Target: Investment Analyst · Venture Capital

“Investor who can diligence faster and deeper than anyone in the room” is Vishakha’s best sell

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Fund Thesis:

If I ran ₹100Cr

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A bold, opinionated piece: if she were running a seed fund, what would she invest in and why. Tag relevant sectors founders and VCs to signal

📍 LinkedIn

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📊 Sector Thesis

(Substack/PDF)

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A 20-page deep-dive on Indian cleantech (or spacetech, healthtech). Market size, key players, growth areas and 5 companies she'd back. The thesis is the job application.

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📍 PDF + Mesa BSL page

📝Founder Evaluation Framework

Her understanding of the founders in the indian ecosystem, how is one different than the other. Shows how a VC would evaluate a founder, beyond numbers.

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📍 LinkedIn

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Bi-weekly Market Deepdive Series

One Market, evaluated every 2 weeks. A 15 min-video on YT, shared on LinkedIn later. For eg: “FirstClub, the new kid in the Q-comm block?”

📍 YouTube

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Cap Gaurav Khanna: The Ex-Servicemen

Target: Ops Leadership · Founder's Office

"“He is the Captain Cool, in real life” is Gaurav’s best sell

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Ops Playbook:

Military → Startup

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A translation doc of military frameworks into startup language.

For eg: Field conditions → 'resource-constrained sprints, to signal that he understands the culture and language.

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📍 Notion (public link)

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BSL Case:

Supply Chain Audit

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A live supply chain problem from a Mesa partner company. His structured approach to diagnosing constraints and proposing fixes with real data and real outcomes is tested here

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📍 Mesa BSL portfolio

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📝Leadership Essay:

Decision Under Pressure

A personal narrative: To Humanize the military background.

📍 LinkedIn article

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Crisis Management

Framework (PDF)

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How has he approached extremely uncertain situations before and package it as a tool

📍 PDF + Notion

Personal Operating Manual

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How he works: decision-making style, communication preferences, what he values in a team, how he handles ambiguity. Founders love this.

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📍 Notion (public link)

Founder Network Engagement Log

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The Military way of networking: After every Mesa founder interaction, documents one insight, one question he asked, and one follow-up action. Shows structured relationship-building

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Recruiter Visibility System

What mechanisms will increase the chances

that Mesa students get noticed by companies?

Recruiter

Visibility

They've seen you before you have applied

Candidate

Credibility

Proof → Public → Holds up in a room

Interview

Conversion

This wasn’t luck, all of it was engineered

The 5 Visibility Levers

L1

LinkedIn

Activation

Optimised headline, banner & about

2–3 posts/week (teardowns, BSL projects, insights)

Strategic commenting on founder/recruiter content

DM 5 targeted contacts/week with sharp, specific asks

Cohort tag: 'Mesa School of Business' searchable cluster

L2

Portfolio &

GitHub

One public URL that answers every recruiter question

Role-specific repos (PRDs, teardowns, memos)

BSL projects framed as real consulting engagements

Loom walkthroughs: 5-min crisp problem-to-solution videos

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Thought

Leadership

Substack or blog: 1 post/week on domain-specific insight

LinkedIn series: teardowns, experiments, field notes

Medium / Notion: case studies with real company names

Personal POV posts and not summaries, actual opinions

Compounds across cohorts, alumni tag amplifies reach

L4

Warm Network

& Mesa Access

Founder office hours: Kunal Shah, Abhiraj Bhal, Mekin M

BSL partners = warm intro pipeline (direct founder access)

Alumni referral CRM: which alum is at which company

Outreach Lab: 5 DMs/week tracked, iterated, peer-shared

1 warm intro > 50 cold applications — activate this hard

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The Mesa

Ledge

Recruiter-facing platform: search by skill / metric / proof

'Reduced CAC 30%' → Aditya's card + LinkedIn + artifacts

Every student has a public profile, auto-updated weekly

Cohort spotlight: top performers surfaced to hiring partners

Companies can post roles directly and get matched profiles

Multi Lever Engine

Layer-1

Personal Signal (Student Owned)

• Linkedin
• Eat-sleep-breathe the role
• Portfolio
• Build in public
• Case breakdown
• Learning thread
• One video based distribution tool (YT/Loom videos, Instagram)

Layer-2

The MESA Push

• Weekly “Top 10 Mesa Operators”
• Publish on socials
• Send to hiring managers, founders, upload on MESA Ledger
• Demo Days
• Show what you have built

Layer-3

Attention Hacks

• Teardown distribution
• FirstClub has just raised 40 million $, strategically share teardown on how they are different than other Q-comm players.
• Comment Strategy
• Engage with founders active on socials, agree/debate their views and thought process.
• Creates visibility

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THE MESA LEDGER

Find talent by proof, not promise

What is it Exactly?

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• Positioning → Search engine for proven operators
• Core UX Idea → recruiter should be able to [Search → Discover → Evaluate → Shortlist] in under 2 minutes
• A search could be as simple as, “Reduced CAC by 25%”
• Using MESA Ledger
• Recruiters don’t search for candidates on Mesa Ledger, they search for problems, and discover candidates who have already solved them.
• Link to the ledger

^ use in web-based views for better optimization

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MESA doesn’t help students get noticed.

It makes them impossible to ignore.

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