Distribution across 38 profiles.
Middle half of Venture Capital Analysts score between 33% and 41%.
0%
50%
100%
p10 · 31%
44% · p90
Task breakdown by work type
On-screen work56%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen15%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action12%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person17%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Venture Capital Analyst, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Founder and pitch meetings: listening to pitches, asking probing questions about business model/unit economics, assessing founder credibility and coachability, building relationships
deep expertisesocial core
33%AA
5%
Networking and deal sourcing: attending startup events, maintaining relationships with other VCs and advisors, reviewing inbound pitch emails, identifying interesting companies
deep expertisesocial core
16%DA
4%
Portfolio company monitoring: tracking key metrics of existing investments, flagging issues, preparing quarterly reviews, drafting updates for fund partners
13%DD
41%
Financial modeling and analysis of startup pitch decks: building spreadsheets, projecting revenue/burn rates, calculating valuation multiples, stress-testing assumptions
12%DD
72%
Meeting preparation and follow-up: scheduling founder meetings, reviewing materials beforehand, taking notes during calls, summarizing investment theses for partners
12%AD
41%
Investment memo writing and presentation: synthesizing analysis into written recommendations, creating slide decks for partner meetings, articulating thesis and risks
deep expertisesocial core
9%DD
18%
Due diligence research: investigating market size, competitive landscape, customer acquisition costs, regulatory risks, and management team background via web research and databases
1%DD
63%
TaskTimeTypeExposure
Due diligence research: investigating market size, competitive landscape, customer acquisition costs, regulatory risks, and management team background via web research and databases
23%DD
58%
Founder and pitch meetings: listening to pitches, asking probing questions about business model/unit economics, assessing founder credibility and coachability, building relationships
deep expertisesocial core
23%AA
0%
Financial modeling and analysis of startup pitch decks: building spreadsheets, projecting revenue/burn rates, calculating valuation multiples, stress-testing assumptions
17%DD
62%
Meeting preparation and follow-up: scheduling founder meetings, reviewing materials beforehand, taking notes during calls, summarizing investment theses for partners
17%AD
38%
Portfolio company monitoring: tracking key metrics of existing investments, flagging issues, preparing quarterly reviews, drafting updates for fund partners
12%DD
53%
Networking and deal sourcing: attending startup events, maintaining relationships with other VCs and advisors, reviewing inbound pitch emails, identifying interesting companies
deep expertisesocial core
4%DA
11%
Investment memo writing and presentation: synthesizing analysis into written recommendations, creating slide decks for partner meetings, articulating thesis and risks
deep expertisesocial core
1%DD
15%
TaskTimeTypeExposure
Due diligence research: investigating market size, competitive landscape, customer acquisition costs, regulatory risks, and management team background via web research and databases
21%DD
67%
Meeting preparation and follow-up: scheduling founder meetings, reviewing materials beforehand, taking notes during calls, summarizing investment theses for partners
17%AD
38%
Portfolio company monitoring: tracking key metrics of existing investments, flagging issues, preparing quarterly reviews, drafting updates for fund partners
15%DD
73%
Networking and deal sourcing: attending startup events, maintaining relationships with other VCs and advisors, reviewing inbound pitch emails, identifying interesting companies
deep expertisesocial core
14%DA
5%
Founder and pitch meetings: listening to pitches, asking probing questions about business model/unit economics, assessing founder credibility and coachability, building relationships
deep expertisesocial core
13%AA
4%
Financial modeling and analysis of startup pitch decks: building spreadsheets, projecting revenue/burn rates, calculating valuation multiples, stress-testing assumptions
13%DD
69%
Investment memo writing and presentation: synthesizing analysis into written recommendations, creating slide decks for partner meetings, articulating thesis and risks
deep expertisesocial core
3%DD
18%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
