LP due diligence
LP due diligence on deal sourcing: what to show.
LP due diligence on deal sourcing used to be a courtesy question buried on page six of the DDQ, somewhere between the org chart and the ESG policy. It is not a courtesy question anymore. Allocators have sat through a decade of GPs claiming a "differentiated network" and then watching the fund win the same auctions as everyone else, and they have started asking for evidence instead of adjectives. A GP who cannot answer specifically gets read as a GP who does not actually have an edge, whatever the pitch deck says.
This matters more now because the easy part of the return has gotten harder to find. S&P Global reports that buyout dry powder remains above $1 trillion, which means more committed capital chasing a supply of quality targets that has not grown to match it. When capital is abundant and proprietary targets are scarce, sourcing capability stops being a footnote and becomes one of the few genuine differentiators private equity firms have left to underwrite. This post covers what LPs are actually asking, what documentation holds up under pressure, and where GPs get caught overstating a sourcing story that outreach and origination could have made true.
What is LP due diligence on deal sourcing?
LP due diligence on deal sourcing is the part of fundraising and re-up diligence where an allocator tests whether a fund's stated origination edge is a real, repeatable process or a description of how a handful of past deals happened to arrive. It shows up in the DDQ as questions about proprietary versus intermediated deal flow, but it is really a question about process maturity: does this fund have a system for finding deals, or does it have a few well-connected partners and a good track record built on timing.
Why do LPs suddenly care so much about how GPs source deals?
LPs care now because pricing discipline has become harder to maintain in auctioned processes, and they know it. A fund that wins mostly through competitive banker-run auctions pays close to full value more often, which compresses the return LPs are underwriting. A fund with a genuine proprietary channel can still find businesses before they are shopped, at multiples that have not been bid up by five other sponsors. Allocators have seen enough cycles to know the difference shows up in realised returns, not in the pitch deck, and they now diligence the sourcing claim with the same rigour they apply to fee terms.
What does an LP actually ask about deal sourcing in a DDQ?
An LP asks four things in some order: what percentage of the pipeline was genuinely proprietary versus introduced by an intermediary, who specifically originates deals and how their time is spent, what the funnel looked like before the deals that closed, and what happens to origination when a key partner leaves. The first two questions test whether the story is true today. The second two test whether it survives without one person holding it together.
| DDQ topic area | What the LP is really testing | What a weak answer sounds like |
|---|---|---|
| Proprietary vs. intermediated split | Whether the edge is real or incidental | "Most of our deals come through relationships" with no data |
| Origination ownership | Whether sourcing is a function or a hobby | A partner's name, with no team or process behind it |
| Funnel visibility | Whether the fund can see what it does not close | Only closed deals are discussed, not the universe contacted |
| Key-person dependency | Whether the edge survives turnover | The answer only makes sense if one specific partner stays |
| Track record attribution | Whether past wins prove the current process | Deals sourced years ago under a different market, different method |
What proof holds up when an LP pushes on proprietary deal flow?
The proof that holds up is a documented, ongoing process with numbers attached, not a story about how a past deal was won. That means being able to show the actual target universe that was contacted for a given thesis, not just the one company that said yes, along with the reply and conversion data across that universe. A single anecdote about meeting a founder at a conference is not proof of a repeatable channel. A funnel that shows the same conversion pattern across dozens of theses over multiple quarters is. This is the same discipline covered in how to build a deal origination function: a fund that has actually built the function has the artefacts to show it, and a fund that has not usually discovers that gap for the first time in front of an LP.
Does outsourced origination survive LP due diligence?
Outsourced origination survives LP due diligence as well as in-house origination does, provided the fund can describe the process and show the data, because LPs are underwriting the system, not the org chart. Some allocators assume outsourced sourcing is automatically weaker, but that assumption breaks down the moment a GP produces granular funnel data, a clear investment thesis behind the outreach, and evidence that the fund directs and owns the strategy even if a partner executes it. The comparison that actually matters to an LP is covered in in-house vs outsourced corporate development sourcing: the diligence risk is not who runs the outreach, it is whether anyone can explain the process in specific terms.
What metrics should a fund have ready before the DDQ arrives?
A fund should have ready the size of the qualified universe contacted per thesis, the reply rate, the rate at which replies convert to a real ownership conversation, and the proportion of the current pipeline that came from direct outreach versus an intermediary. These are the same core numbers covered in deal origination metrics, and having them on hand, broken down by quarter, is the difference between an LP meeting that reassures and one that raises a flag. Granular, campaign-level data of this kind, for example reply rates in the low single digits on cold email and meaningfully higher on warmer channels, is the kind of evidence a serious origination partner can supply on request; it is the sort of detail we track across our own campaigns and reference in our results.
- Show the denominator, not just the numerator. A number of closed proprietary deals means little without the size of the universe it came from.
- Separate the thesis from the tactic. LPs want to see that targeting logic drives outreach, not that outreach happens and a thesis gets written afterward.
- Bring a trend, not a snapshot. One good quarter reads as luck. Four consistent quarters reads as a process.
- Be honest about the intermediated share. A fund that claims 100% proprietary deal flow usually gets more scrutiny, not less, because LPs know that number is rarely true at scale.
What answers make LPs more suspicious, not less?
Vague enthusiasm makes LPs more suspicious, specifically phrases like "deep relationships across the space" or "extensive network" offered without a number attached to them. So does a sourcing story that only ever references the deals that closed, since it signals the fund either does not track the deals it lost or does not want to show them. The other common trigger is inconsistency between what the fund claims in the DDQ and what a reference call reveals; a portfolio company CEO who says the deal came from a warm introduction from a banker undercuts a sourcing narrative faster than any spreadsheet can support it. What proprietary deal flow really means is worth reading before drafting DDQ language, because the term gets used loosely and LPs increasingly know the difference.
The five-part deal sourcing file every GP should keep current
- 1. The investment thesis document. What the fund is targeting, by sector, size, and geography, and why, updated each time the thesis shifts.
- 2. The proprietary versus intermediated split, with a trend line. Not a single quarter's number, a rolling view across at least four quarters.
- 3. Funnel data by thesis. Universe size, contact volume, reply rate, and conversion to qualified conversation, for the theses actually run.
- 4. A one-page description of who owns origination. Names, roles, and what happens if that person or partner leaves, whether the function is in-house, outsourced, or hybrid.
- 5. Two or three reference-able origination stories with numbers attached. Not just the deal that closed, but how the target was found, how long it took, and what the alternative outcome would have been through an intermediary.
A fund that can produce all five without scrambling has turned deal sourcing from a claim into an underwritten capability. That is worth building well before a DDQ lands, not the week after one does, and it is the same discipline that shows up in a well-run deal origination team structure: the documentation is a byproduct of the process being real, not a separate exercise bolted on for fundraising season. Funds that build this with an outside partner can point to how the work actually runs rather than describing it in the abstract.
Frequently asked questions
What is a DDQ in the context of deal sourcing?
A DDQ, or due diligence questionnaire, is the standard document LPs send GPs during fundraising or a re-up, and it now routinely includes specific questions about how the fund originates deals rather than a single generic line about "sourcing capability."
Do LPs actually verify what a GP says about deal sourcing?
Yes, most commonly through reference calls with portfolio company founders, who are often asked directly how the deal came about, which makes an inflated sourcing story risky to claim in a DDQ if it will not hold up in a reference conversation.
What percentage of deal flow should be proprietary to satisfy an LP?
There is no fixed threshold that satisfies every LP, but a fund that can show a consistent, documented proprietary share alongside honest numbers on the intermediated remainder is judged far more favourably than one claiming an implausibly high proprietary percentage with no data behind it.
Can a smaller or newer fund pass LP due diligence on deal sourcing without a long track record?
Yes, a newer fund can pass by showing a documented, active process, thesis discipline, and early funnel data, since LPs evaluating emerging managers are often testing whether the system works, not whether it has a decade of results behind it yet.
How is LP due diligence on deal sourcing different from ordinary operational due diligence?
Operational due diligence tests whether the fund runs efficiently and controls risk, while LP due diligence on deal sourcing specifically tests whether the fund's stated competitive edge in finding deals is real, current, and survives without depending on one individual.
What is the single biggest mistake GPs make when answering sourcing questions in a DDQ?
The biggest mistake is answering with only the deals that closed, since it leaves LPs unable to judge the size of the funnel behind those wins or whether the same result is repeatable at scale.
Should sourcing documentation be prepared only when a fund is raising?
No, sourcing documentation should be maintained continuously as part of running the origination function, because scrambling to reconstruct funnel history in the weeks before a fundraise is both harder and less convincing than showing a file that has clearly existed all along.
Does using an outsourced origination partner weaken a fund's answer to LP due diligence on deal sourcing?
Not inherently, provided the fund can articulate the thesis behind the outreach, show the resulting data, and demonstrate that the strategy is fund-directed; LPs are underwriting the process and its ownership, not whether every message was sent by an in-house associate.