VC Deal Flow Management Software: The Method

For each deal a venture firm closes, it considers about 101 opportunities. That figure comes from a survey of venture capitalists by Gompers, Gornall, Kaplan and Strebulaev, and it means nearly all the work in your deal flow system ends in a pass. A tool that's only pleasant for the winners has been built around the wrong 1%.

This page is for investors, and it's a method first. Nautis doesn't make software for this job: its documented modules serve founders. We've kept the tool list short and placed it near the end. For the long-term relationship record underneath the funnel, see venture capital CRM software, which this page doesn't repeat.

The funnel, in numbers

These are averages per closed deal from the survey's Table 6. The paper dates from 2016 and covers institutional investors of many kinds, so use it as a baseline against your own numbers, not as a target.

Opportunities reaching each stage, per deal closed (Gompers et al.)

Stage	Average per closed deal	What happens to the rest
Considered	101	Most get a quick look from the person who found them
Met management	28	About one in four gets a meeting
Reviewed with partners	10	About a third of those meetings reach the partners
Due diligence	4.8	Roughly half of partner reviews go further
Term sheet offered	1.7	About a third of diligence efforts
Closed	1	Roughly 60% of term sheets close; rival offers and legal work account for the rest

The averages hide real spread. IT-focused firms in the sample considered 151 deals per investment and healthcare firms 78, so a sector fund needs its own baseline. Run the same count on your last 12 months before you buy anything. If you can't produce it, you've found the first thing the software has to fix.

What VC deal flow management software should capture at each step

Software should only ask a person for what it can't work out itself. In the table, the capture column separates machine work from human judgment. Your stage names can differ. An Affinity article uses seven stages, starting with sourcing and running through investment committee and term sheet, and both Affinity and Attio let you set your own.

A deal flow funnel, and what to record at each step

Step	Question it answers	Capture automatically	A person must add	Leaves when
Sourcing	Is this worth a look?	Company data, first email, who sent it	Source type, referrer if not obvious	Someone claims it, or it's out of thesis
Screening	Does it fit the fund?	Round, sector, stage, location	Owner, thesis fit, one-line view	Owner books a meeting or passes
First meeting	Is this team worth more time?	Meeting date, attendees	Short note, next step, team impression	Owner asks for partner time or passes
Partner review	Do other partners agree?	Meeting date, deck version	Sponsor, objections, what must be true	Partners approve diligence or pass
Diligence	Are the claims true?	Files, calls, reference contacts	Findings, open risks, reference notes	Enough is known to bring it to IC
Investment committee	Do we invest, and on what terms?	Date, memo version	Votes, dissent, conditions	Decision recorded
Term sheet and close	Did we win it?	Document dates	Terms, competing offers, reason lost if lost	Signed, or lost with a reason

Notice who adds the judgments. Fields like these get entered only if the sponsor sees the benefit, so make them short and keep them few. If a partner can't complete a stage in under a minute, the stage has too many fields.

Sourcing: keep attribution honest

The survey asked where closed deals came from. Professional networks made up 31%, other investors 20%, proactive self-generated work 28%, portfolio companies 8%, inbound founders 10% and quantitative sourcing 2%. Those shares may have moved since 2016, particularly on the data side, which is why you should measure your own.

A dropdown filled in at the moment of entry is the weak point. The person picks whatever is first on the list, or credits themselves. Affinity says its attribution reflects how deals actually arrived, based on captured activity, and that's a fair thing to test in any trial: pick 10 recent deals where you know the true source and compare.

Two fields help more than the source type. Record the named referrer, so you can thank that person and see over time which people send deals you take seriously. And record the first date anyone at the firm heard of the company, because a two-year gap between first sighting and first meeting tells you something about your process.

Data tools sit in front of all this. Harmonic describes a database of 30M+ companies with filters for early signals and an AI agent named Scout that runs recurring searches and alerts. That creates more at the top of the funnel, so only add it if screening already has spare capacity.

Pass reasons are your most valuable field

Since most opportunities end in a pass, this is where most of your data will sit. Affinity's deal flow page notes the same thing and says teams log pass reasons by hand alongside stage and thesis fit. Free text is fine for detail, but you can't analyze it, so pair it with a short controlled list such as the one below.

Outside mandate: stage, sector, geography or check size.
Conflict: overlaps with a portfolio company.
Market: too small, too slow or too crowded in our view.
Team: a specific gap, written in one line. Vague notes such as "not convinced" teach you nothing.
Traction or product: not enough evidence yet, with a stated trigger for another look.
Price or terms: we liked it, but not at this valuation or structure.
Lost: we wanted in and they chose someone else, so note who.
Timing: the fund is fully reserved, or the partner has no capacity.

Add a revisit date to every pass except the first two codes. A review each quarter of the passes from a year ago, including those that went on to raise from someone else, is the simplest way to learn whether your filter works. Team is worth extra care. In the survey, 47% of firms named the team as the most important factor, so a sloppy team reason can hide your most frequent decision.

Partner review and IC: keep the decision, not only the memo

According to the same survey, the average deal took 83 days to close, with 118 hours of diligence and 10 references called. That effort is wasted if it ends up in a folder that nobody can find when the follow-on question comes up two years later.

A good record holds the memo version the committee actually read, who attended, how each person voted, any dissent in that person's own words, and the conditions attached. Reference calls deserve their own entries, with who called and what was said, kept under restricted access since they tend to be candid.

Support varies. Intapp DealCloud describes coordinating workstreams, automating approvals and keeping audit-ready IC materials, which is its strength for larger firms. Affinity's deal flow page doesn't mention investment committee workflows, so test how you'd handle this if you choose it. Many smaller firms keep memos in a shared drive and paste the link and the outcome into the deal record, and that works fine until the firm grows beyond a few partners.

Five reports to read each month

If a report doesn't change what someone does next month, stop producing it. These five usually do.

Conversion by stage: compare with your own last year and the baseline above. Find the step that dropped.
Time in stage: a pile of deals sitting at partner review points to a calendar problem, not a quality problem.
Source to outcome: which sources reach term sheet, not which send the most names.
Pass reasons by month: a spike in out-of-mandate deals means your public thesis is unclear.
Load by owner: an associate with 60 live deals isn't screening any of them.

Affinity says its reports slice by stage, source, owner, sector and geography, and that it tracks conversion and time in stage. Whichever tool you use, check that it can produce these five without an export.

Tool options by part of the funnel

Facts are from each vendor's own site, as of November 2026. Fit is our reading of what they publish, and nobody here has run a scored hands-on test. Nautis isn't listed because it doesn't do this.

Deal flow tools, as of November 2026

Tool	Where it helps	Published detail	Price
Harmonic	Sourcing data, ahead of the CRM	Early-signal filters, Scout alerts, CRM sync as an add-on	Not published; "Get pricing" on each plan
Affinity	Capture, pipeline, reporting	Own stages and fields, pass reasons, conversion and time in stage	$2,000 to $2,700 per user a year; Enterprise custom
Attio	A pipeline you shape yourself	Kanban deal reviews, inbox sync, custom workflows	$0 to 3 seats; Plus $35, Pro $79 per user a month billed yearly
4Degrees	Deal status with relationship data	Deal snapshots, stall reminders, sourcing and KPI reports	Per user per month, quote only
Intapp DealCloud	Larger firms, through to IC and exit	Approvals, IC materials, exit tracking, compliance controls	Not published
Airtable	A very small fund building its own base	Tables you build yourself; read-only collaborators and form submissions aren't charged on Team or Business	$0 option; Team $20, Business $45 per user a month billed yearly

A rough rule, and only our opinion: below about 100 opportunities a year with one or two people, a well-built base or a $0 CRM will do. Once several people source at once, automatic capture pays for itself, because the person who most needs to log something is the one least likely to. For a founder-side tool, see the investor CRM guide, which explains why these aren't interchangeable.

A note for founders: what investors see

If you're on the other side of this funnel, a few things follow. You're one record among hundreds, and the first thing noted is often who introduced you, which is why warm paths matter. A pass is often stored with a reason and a date, so a later approach is rarely fresh, and that's fine if you can show what changed.

Make yourself easy to log: put the company name, stage, round size and sector in your first lines. When you share documents, control them. In Nautis, data rooms offer passcode links with expiry dates and an Analytics tab showing who opened what. Investors may keep or forward your deck in their own system, so treat anything you send as something that could stay on file for years.

FAQ

What is VC deal flow management software?

It's software that tracks every investment opportunity through a fund's funnel, from first mention through screening, partner review, diligence and investment committee. It records who owns each deal, where it came from and why the firm passed or invested.

How many deals does a VC look at per investment?

In the Gompers survey of 885 venture capitalists, firms considered about 101 opportunities per closed deal, met management at 28 and did diligence on 4.8. The figures date from 2016, and they varied by sector, so treat them as a baseline.

Why should a fund track reasons for pass?

Most opportunities end in a pass, so pass data is the largest record of your judgment. A short list of reason codes, plus a revisit date, lets you check whether your filter works and bring back companies when a stated condition is met.

Does Nautis offer deal flow software for investors?

No documented module does this. Nautis's help center describes founder-side tools, including a Fundraising CRM for a company's own raise. Investors should look at products built for funds, such as Affinity, Attio, 4Degrees or Intapp DealCloud.

VC deal flow management software: start with the funnel, then buy