# The Portfolio Exec Bench Playbook: Seat Forecast to 48-Hour Slate

*Turn round dates into a dated two-quarter seat forecast, keep a graded 8 to 9 person bench per seat, and send a founder five warm names within 48 hours.*

- Canonical URL: https://www.refolk.ai/guides/portfolio-exec-bench-playbook
- Pillar: Investing and deal sourcing
- Format: Playbook
- Published: 2026-10-27
- Last reviewed: 2026-10-27
- Reading time: 24 min
- Keywords: how to build a VC portfolio executive talent network, talent partner pre-vetted executive bench, forecast portfolio company executive hiring needs, VP Sales slate for Series A portfolio company, keep a VC talent network warm between searches

## Key takeaways

- One search firm's benchmark says a Series A technology company needs 3 to 5 VP-level hires within 18 months of close, with VP Sales or CRO usually first in B2B SaaS (months 1 to 4), though its method is thin and other firms put engineering or product first.
- With a 47% 18-month departure rate, each VP Sales hired in the last 18 months carries roughly a 16% chance of reopening in the next six months, so ten recent hires imply about 1.6 backfill searches.
- At a 60% warm response rate it takes 9 contacts to get 5 interested candidates, so a 5-person bench cannot reliably produce a 5-person slate and 8 to 9 per seat is the floor.
- In Refolk's index, 49,577 people hold VP Sales title variants in the US against 691 in the UK, a gap of about 72 to 1 that forces UK seats onto shared or cross-border benches.
- A retained search on a $350K to $500K VP package costs $115K to $167K and typically runs 90 to 120 days, which is the cost and clock a fund's bench has to beat.
- Under GDPR Article 14, every profile collected from public sources needs a notice within one month, and the notice must name the portfolio company as a recipient before anything is shared.

This playbook is for fund talent partners and platform teams who want a slate ready before a founder asks for one. It turns the portfolio's round dates, stages, and sectors into a dated forecast of VP and C-level seats for the next two quarters, builds a graded bench behind each seat, and keeps that bench fresh so at least five warm, stage-matched names reach the founder within 48 hours of a search opening. Counts and time budgets are sized for a platform team of one or two people.

## What is a portfolio exec bench, and why build it from seat demand?

A portfolio exec bench is a short, graded list of VP and C-level operators held against a seat you expect a specific portfolio company to open, with fields for stage-readiness, timing, and warmth. Building it from forecast seats instead of a general network is what lets you send a slate the week a founder calls, instead of starting a search from zero.

Four terms carry the rest of this guide:

- **Seat**: one named role at one named company, with the quarter you expect it to open.
- **Bench**: the 8 to 9 graded people you hold against a seat, or against a group of similar seats across the portfolio.
- **Slate**: the five or more names you send a founder, each of whom has confirmed interest within the last 48 hours.
- **Backfill**: a seat that reopens because the executive in it left.

The case for doing this comes down to demand and cost. In Visible's portfolio support survey, the number one support request from portfolio companies was help with sourcing and hiring talent. If you can't help, the founder hires a retained search firm. Fees typically run 25 to 35 percent of the placed executive's first-year cash compensation. On a VP package of $350K to $500K that comes to $115K to $167K per search, and top-tier firms set minimums of $75,000 to $100,000. Most retained searches take 90 to 120 days from kickoff to signed offer. One firm quotes 12 to 20 weeks for VP roles and 16 to 24 weeks for CXO roles. Your bench has to beat that price and that clock.

Inbound won't fill these roles for you. In Ashby's hiring data, only about 35% of executive roles are filled through inbound, a lower share than other roles. The rest comes from outreach, and outreach is fastest when you did it before anyone asked.

A broad talent network still has value. Getro, which sells network software to funds, suggests aiming for 500 to 1,000 engaged members in the first year and 30 to 50% of portfolio hires sourced through the network. But a thousand names tagged "VP Sales" is not a slate. The bench is the layer that turns a general network into a specific answer for a specific seat.

#### From round ledger to slate

1. **Round ledger** - One row per company with close date, stage, sector, and exec start dates
2. **Seat forecast** - New seats by sector sequence plus backfill probabilities, by quarter
3. **Bench spec** - Stage-readiness, team size, and comp realism written per seat
4. **Graded bench** - 8 to 9 people per seat scored on stage, timing, and warmth
5. **48-hour slate** - Five or more confirmed, stage-matched names in the founder's inbox

*A bench is only as good as the forecast seat behind it, so the work starts with round dates, not with names.*

## Which executive seats open after a round, and in what order?

For B2B SaaS, the one published sector benchmark puts VP Sales or CRO first, in months 1 to 4 after a Series A close, then VP Engineering in months 3 to 8, with 3 to 5 VP seats opening within 18 months. Use that sequence as a starting point and correct it with your own portfolio's history: its method is thin, and other firms disagree.

The benchmark comes from one search firm, Majhi Group. It defines a Series A technology company as one that raised $8M to $20M in primary Series A funding. Its sequence by sector:

- **B2B SaaS**: VP Sales or CRO first (months 1 to 4), VP Engineering second (months 3 to 8), and 3 to 4 VPs in place at 18 months.
- **DevTools**: VP Engineering first, and 2 to 3 VPs at 18 months. The common gap it names is a VP Sales hired too early, before a product-led motion exists.
- **Dissenting view**: another firm lists VP Engineering or Head of Product as the typical first executive at Series A.

No independent study publicly establishes how many months typically pass before the first VP hire. So build your own figure. For every company the fund has backed through a Series A, record the close date and the start date of each VP or C-level hire, then calculate months from close for each role. Ten companies will tell you more about your own founders than a cross-market benchmark will.

Check readiness before you forecast a seat. A round date tells you the money arrived. It doesn't tell you the company is ready to hire against it. For revenue seats, confirm with the founder that founder-led sales is repeatable before you put a VP Sales seat on the forecast. One operator's analysis puts the failure rate at roughly 80% when the role is created before a repeatable motion exists. Talent partners also advise keeping a headcount plan for every company even when it isn't actively hiring. That plan is exactly the input this step needs.

> **Note:** The seat sequence is a starting point, not a benchmark
>
> Only one search firm publishes a sector seat sequence, and it does not describe its method. Replace it with months-from-close data from your own portfolio as soon as you have ten companies' worth.

## How do you forecast backfills from short executive tenures?

For each executive hired in the last 18 months, take the 18-month departure rate for their role, divide it by three, and record the result as the chance their seat reopens in the next six months. For VP Sales that comes to about 16% per hire. Added up across a portfolio, backfills can rival the new seats.

The rates come from Majhi Group's tenure data on externally hired VP and C-suite leaders. Median tenure is 2.8 years, and 40% leave within 18 months. By role:

| Role | 18-mo departure | 6-mo backfill (derived) |
|---|---|---|
| VP Sales | 47% | ~16% |
| CMO/VP Marketing | 41% | ~14% |
| CPO/VP Product | 38% | ~13% |
| COO | 29% | ~10% |
| CFO | 21% | ~7% |

The six-month figure assumes exits are spread evenly across the 18 months, and they probably aren't. Jason Lemkin of SaaStr is quoted as saying 70% of first-time SaaS VP Sales hires don't make it to 12 months. If that holds, exits cluster early, and the even-spread figure understates the risk for a first-time VP Sales in months 6 to 12. For those hires, treat the derived figure as a floor.

Worked example: the portfolio hired ten VPs of Sales in the last 18 months. 10 × 47% ÷ 3 ≈ 1.6 expected reopenings in the next six months. That's one or two VP Sales searches you can predict but can't yet name. So add up the backfill chances for each role across the portfolio. Once a role's total gets close to one, hold a shared bench for it, even if no single company is flagged.

**~16% - Chance a recent VP Sales hire's seat reopens in the next six months**

Derived from Majhi Group's 47% 18-month departure rate for VP Sales, divided by three on an even-spread assumption.

Two cautions about tenure inputs. First, published VP Sales tenure figures range from 14 to 28 months depending on the source, so never apply an average to an individual. Use their actual start date from the ledger. Second, no public data splits median VP Sales tenure by stage (seed to A versus B to C), so don't adjust the rate by stage without data of your own.

## How big does each bench need to be, and where is the supply?

Hold 8 to 9 graded people per seat. At a 60% warm response rate it takes 9 contacts to get 5 interested candidates, so a 5-person bench will usually fail to produce a 5-person slate.

| Channel | Response rate | Contacts for 5 |
|---|---|---|
| Warm (high) | 80% | 7 |
| Warm (low) | 60% | 9 |
| Cold | 10% | 50 |

Treat these rates with care. The 60 to 80% warm and 10% cold figures come from a software vendor that publishes no method, and no public source measures response rates specifically for senior candidates. Independent data points the same way at smaller margins. In Ashby's hiring data across all levels, referred candidates advanced from application to interview about 40% of the time, against roughly 12% for inbound applicants and about 8% for outbound sourced candidates. Referrals also accept offers more often: 89% in business and 84% in tech, against 76% for sourced tech candidates. Yet referrals make up only about 15% of hires at startups. Warm introductions are underused, not oversold.

If you can't reach 8 or 9 for every seat, share benches. Say two Series A B2B SaaS companies are both forecast to need a VP Sales in the same quarter. They can share one list of 12, graded separately against each company.

### Where the supply is thin

Supply is uneven across markets, and the gap changes how you build. In Refolk's index of professional profiles, the VP Sales title query returns:

| Metric | US | UK |
|---|---|---|
| Total matching | 49,577 | 691 |
| Size ratio (derived) | 71.7x | 1x |
| Sample with VP Sales title variants | 92% | 92% |
| Top-region share of sample | Bay Area 8% | London 32% |

Samples are 25 profiles per country.

**49,577 - People holding VP Sales title variants in the US, in Refolk's index**

The same query returns 691 in the UK, a pool about 72 times smaller.

The UK pool is about 72 times smaller and much more concentrated. 32% of the UK sample is in London, against 8% of the US sample in the Bay Area. A pool that small can't supply 9 stage-matched, warm names for every UK seat without overlap. Plan UK benches to draw on candidates in other countries, or to share names with nearby seats, from the start.

The same index shows a trap. Adding the industry filter "Computer Software" to the VP Sales query returned 1 person in the US and 0 in the UK. Software sales leaders aren't missing. The filter just doesn't work for this job. Stage-readiness shows up in what someone did, such as which ARR band they scaled through and at what kind of company, and a description captures that better than a dropdown. [Refolk](/) takes the seat spec in plain English, including stage, ARR band, and tenure window, and returns matching people across LinkedIn, GitHub, and the open web. That sidesteps the filter problem instead of patching it.

I ran this search: `VP Sales at Series B SaaS companies in the US who took ARR from $2M to $10M and started their current role 12 to 15 months ago` - [see the full result list](https://www.refolk.ai/s/47cgr14esy).

*Returns named operators with the ARR band and start date needed for stage-match and cliff-timing grades, ready to drop into a bench record.*

## The procedure: round ledger to 48-hour slate

The procedure has eight steps, from a one-row-per-company round ledger to a slate in the founder's inbox. Most of the work comes at setup. After that, the forecast and the refresh run every quarter, and the slate step runs whenever a search opens.

#### Portfolio exec bench procedure

1. **Build the round ledger** - List every portfolio company with last round close date, stage, sector, and current exec roster with start dates. Done when every company has a row with a close date, including those not hiring.
2. **Forecast seats for the next two quarters** - Apply the sector seat sequence to months since close, check revenue seats against a repeatable sales motion, then add backfill probabilities. Done when each seat has a role, company, and expected quarter.
3. **Write a bench spec per seat** - Define stage-readiness concretely, such as having taken ARR from under $2M to over $10M, plus team size and comp realism. Done when someone else could source against it.
4. **Source and map candidates** - Pull names from public signals and the partners' networks, searching by what people did, not industry filters. Done when each seat or seat group has at least 12 mapped names.
5. **Send notices and warm up** - Send an Article 14 notice within one month of first collecting each person's data, combined with a warm-up note. Done when every profile records a notice date.
6. **Grade every candidate** - Score stage match, timing, and warmth from 0 to 2 using the rubric. Done when every seat has 8 to 9 graded people and the slate-ready ones are marked.
7. **Refresh the bench quarterly** - Re-run the forecast, re-check employers, start dates, and last exchanges, remove anyone stale, and top benches back up. Done when every profile has a review date this quarter.
8. **Ship the 48-hour slate** - When a search opens, message the top-graded bench, confirm interest, and send at least five named, stage-matched candidates. Done when the founder has the slate.

### Time budgets

| Step | Budget | Status |
|---|---|---|
| Round ledger | ~1 day at setup | Estimate |
| Seat forecast | ~Half a day per quarter | Estimate |
| Bench spec | ~1 hour per seat | Estimate |
| Market mapping | Weeks 1 to 3 in retained search | Search-firm budget |
| Grading | ~15 minutes per candidate | Estimate |
| Network upkeep | At least half of one person | Vendor suggestion |

The estimates are mine, not sourced figures. Time your first cycle and replace them. For scale: six forecast seats with 9 candidates each is 54 grades, about 13.5 hours at 15 minutes each, plus 6 hours of bench specs. Add sourcing and outreach, and the total is consistent with Getro's suggestion to give network management at least half of one person's time.

### Notes on the harder steps

- **Ledger.** Record each executive's start date, not just their name. The backfill forecast and the cliff check both depend on it. Keep the ledger in the tool the team already uses. VC talent partners use CRMs such as Greenhouse CRM for this.
- **Spec.** Write comp realism into the spec so the bench isn't full of people the company can't afford. One salary guide reports that Series A startups now commonly offer $600K+ OTE for VP Sales.
- **Source.** Retained firms budget weeks 1 to 3 for intake and market mapping and weeks 3 to 6 for outreach and a longlist. A bench finishes both before the search exists, which is where the time saving comes from.
- **Slate.** The 48-hour clock is only realistic if steps 5 and 6 already happened. A slate built from cold names is a search, not a slate.

## How do you grade stage match, timing, and warmth?

Score every candidate from 0 to 2 on three fields: stage match (have they built at this stage), timing (can they move now), and warmth (will they reply to you this week). I treat someone as slate-ready at 2 on stage match and at least 1 on both timing and warmth. Everyone else stays on the bench but doesn't go to a founder.

Each signal proves something specific, and each has a typical way of misleading you:

| Signal | What it proves | When it lies |
|---|---|---|
| ARR band scaled | Built at this stage | Company grew; person joined late |
| Team size run | Managed at the right scale | Enterprise team, different job |
| Start date vs cliff | Cost of moving now | An average replaces the real date |
| Employer layoff or acquisition | A window may be open | Their role survived the event |
| Last two-way exchange | They will reply | "Knows a partner," nothing logged |
| Introducer's function | Someone can vouch for the work | Generic intro from outside the function |

The cliff is the timing signal you can check most directly. Series A VP equity typically runs 0.4% to 1.0% on a four-year vest with a one-year cliff. Before the cliff, leaving means walking away from the entire first year of equity. After it, the cost of moving drops to the unvested remainder. Someone 12 to 15 months into a role has just passed that line.

Grade warmth by who made the introduction, not just whether one exists. In Ashby's data on business roles, same-function referrals were interviewed more often (37% against 26%) and hired more often (5.2% against 3.1%). A former VP Sales vouching for a VP Sales is a different signal from a general partner saying they had coffee once.

> Grade the introducer, not the introduction. A same-function referral beats general warmth.

#### Bench triage by stage match and warmth

Horizontal axis runs from Weak stage match to Strong stage match. Vertical axis runs from Cold to Warm.

| Quadrant | What it means |
| --- | --- |
| Warm, weak match | Keep as a referrer and ask who they would hire for the seat |
| Warm, strong match | Slate-ready once timing is confirmed |
| Cold, weak match | Drop from this seat's bench |
| Cold, strong match | Find a same-function introducer this quarter |

*Strong stage match without warmth is a warm-up task, while warmth without stage match is a referral source, not a candidate.*

**Bench record and grading rubric**

```
SEAT
Company:
Role:
Expected quarter:
Seat type: new / backfill (probability: __%)

CANDIDATE
Name:
Current title and employer:
Current role start date:
Cliff passed (start date + 12 months): yes / no
ARR band scaled through (from / to):
Largest team run (headcount):

GRADES (0 to 2 each)
Stage match:
  2 = scaled through this seat's ARR band at a venture-backed company, ran a team of comparable size
  1 = adjacent ARR band, or the right band at a much larger company
  0 = title match only
Timing:
  2 = past cliff and open to a move, between roles, or employer acquired or cutting
  1 = past cliff, no signal either way
  0 = before cliff, or said "not now" this quarter
Warmth:
  2 = two-way exchange this quarter, introduced by someone in the same function
  1 = two-way exchange this quarter, general introducer
  0 = no logged two-way exchange this quarter
Slate-ready = stage 2, timing 1 or more, warmth 1 or more

WARMTH LOG
Last two-way exchange date:
Channel:
Introducer and their function:

COMPLIANCE
Data first collected:
Article 14 notice sent:
Recipients named in notice:
Next review date:
```

*One record per candidate per seat; paste the fields into your CRM and keep the scoring lines as field help text.*

Grades go stale. In one business-card study, 70.8 percent of cards had one or more changes over 12 months, and about 29.6 percent of people changed companies. That study isn't specific to executives, and no named, non-vendor source publicly measures staleness for VP-level operators. Still, at that rate a nine-person bench left alone for a year would lose two or three people to employer changes. A quarterly refresh catches them before a founder does.

## How does a portfolio exec bench go wrong?

Most benches fail in one of seven ways. The most expensive is building a bench for a seat that never opens, and the most embarrassing is sending a founder someone who matched the title but not the stage. Each failure below comes with the check that catches it.

1. **Forecasting seats from round dates alone.** Benches fill up for seats that never open. Typical case: a DevTools company is forecast a VP Sales before it has a working product-led motion. **Check:** before the seat goes on the forecast, confirm with the founder that founder-led sales is repeatable. Roughly 80% of these hires fail when the role is created before a repeatable motion exists.
2. **Mistaking a title match for a stage match.** The classic false positive is a VP at a large enterprise graded as Series A-ready. In the US sample from Refolk's index, HCLTech and Nokia each accounted for 3 of 25 VP Sales profiles. The same sample also included startup employers such as Modal and Vocareum. The title is identical; the job isn't. **Check:** confirm the ARR band the person scaled through and the size of team they ran.
3. **Trusting industry filters.** An empty result can come from how the filter works, not from a real absence of people. "Computer Software" returned 1 US and 0 UK VP Sales profiles out of tens of thousands. **Check:** re-run the query with keywords, a plain-English description, or company names.
4. **Misreading tenure.** Published VP Sales tenure figures range from 14 to 28 months depending on the source. Applying an average to a person produces wrong timing grades. **Check:** use the individual's actual start date and calculate their cliff from it.
5. **Assuming "warm" means they'll reply.** A bench of 8 that produces fewer than 5 replies isn't warm, whatever the CRM tag says. **Check:** log the date and channel of each person's last real two-way exchange, and grade warmth 0 if nothing was logged this quarter.
6. **Compliance gaps.** Profiles held with no Article 14 notice, or shared with a portfolio company that was never named as a recipient. **Check:** run a quarterly audit that flags any profile missing a notice date or a named recipient.
7. **Treating vendor statistics as benchmarks.** The 60 to 80% warm response figure and a widely quoted 67% VP Sales failure figure both trace back to companies selling something. I couldn't verify the "Bridge Group" attribution for the 67% figure. **Check:** size benches using the low end of any vendor range, and replace it with your own response log after one cycle.

> **Watch out:** Title match is the most common false positive
>
> A VP Sales at a large enterprise and a VP Sales who took a startup from under $2M to over $10M ARR share a title and almost nothing else. Never grade stage match above 0 from the title alone.

## What compliance does a fund exec bench need?

In the EU and UK, a bench of people who never applied usually relies on legitimate interest, and it requires an Article 14 notice within one month of first collecting each person's data. Hold every profile against a defined purpose, such as a forecast seat, and name the portfolio company before you share anything with it.

What the sources establish:

- **Notice timing.** Article 14 requires the notice to go out within a reasonable period after obtaining the data, and at the latest within one month.
- **Purpose.** One recruitment guide states that adding candidate data to a database in case you need it in the future is not legal under GDPR. The forecast seat is your purpose, so record it on every profile.
- **Recipients.** In the UK, the notice must cover who you pass the data to, with the client's identity given as soon as is reasonably practicable. For a fund, the client is the portfolio company.
- **Retention.** GDPR's storage limitation principle doesn't name a number of months, so set your own period and write it down. UK recruiters must keep application records for a year from creation and for a year after the last service to that candidate.
- **California.** The CCPA's exemption for HR data has expired, so the full CCPA now applies to job applicants' personal information. Whether it covers a fund's prospect list depends on whether the fund meets CCPA's size thresholds. I haven't verified that, so ask counsel.

> **Rule:** No notice date, no slate
>
> A candidate whose profile lacks an Article 14 notice date, or whose notice does not cover sharing with portfolio companies, does not go on a slate. Fix the record first.

**Article 14 notice and warm-up note**

```
Subject: A sales leadership seat I would like to keep you in mind for

Hi [first name],

I'm [name], talent partner at [fund]. I help [fund]'s portfolio companies hire senior leaders, and I expect one of them, a B2B software company after its Series A, to open a [role] seat in the coming months.

I found your background through public professional profiles. I would like to keep a short record of it (role history, public profile links, and notes from any conversation we have) so I can bring you a specific opportunity when it opens.

What this means for you:
- Who holds it: [fund], contact [email].
- Why: to consider you for executive roles at [fund]'s portfolio companies, on the basis of legitimate interest.
- Who sees it: [fund]'s team, and the portfolio company concerned, which I will name to you before I share anything.
- How long: I review the record every quarter and delete it after [retention period] without contact, or sooner if you ask.
- Your rights: you can ask to see, correct, or delete it, or object at any time, by replying to this email. You can also complain to your data protection authority.

If you would rather not hear from me, reply "remove" and I will delete your record. If you are open to it, I would value 20 minutes to hear what kind of seat would interest you next.

[name]
```

*Send within one month of first collecting the profile; change the seat details, keep the recipient, retention, and rights lines.*

## How do you keep the bench current and ship the slate in 48 hours?

Refresh on a fixed quarterly cycle, tied to the seat forecast, and treat the 48-hour slate as the test of whether the refresh worked. If the bench is graded and warm, a slate is a day of messages. If it isn't, it's a 90-day search wearing a different name.

The quarterly cycle:

1. Update the round ledger with new rounds, new hires, and departures.
2. Re-run the seat forecast and the backfill line for the next two quarters. Retire benches for seats that dropped off, and open specs for new ones.
3. Re-check every bench member's employer, title, start date, and cliff status. Re-running each seat's saved plain-English query in Refolk shows who has moved, been acquired, or crossed their cliff since last quarter, without rebuilding the search.
4. Downgrade warmth to 0 for anyone with no two-way exchange this quarter, then work the "cold, strong match" quadrant through same-function introducers.
5. Top every bench back up to 8 to 9 and send notices to new additions within the month.
6. Audit compliance fields and delete records past your retention period.

When a search opens, the 48-hour handoff runs like this:

- **Hour 0 to 4.** Pull the bench for that seat. Confirm the founder's spec still matches the bench spec, and adjust grades if it doesn't.
- **Hour 4 to 24.** Message every slate-ready person first, then the remaining 1-graded people, until 9 have been contacted.
- **Hour 24 to 48.** Send the founder at least five confirmed names. For each, give their grade on all three fields, the ARR band they scaled through, their cliff status, and who introduced them.

Getro's targets of 30 to 50% of portfolio hires sourced through the network make a sensible yardstick for the whole programme. The sharper measure for the bench itself is how many of your slates went out on time with five confirmed names. Track it every quarter.

#### Before you call a bench ready

- [ ] Every portfolio company has a ledger row with a close date and exec start dates.
- [ ] Every forecast seat has a role, a company, an expected quarter, and a written bench spec.
- [ ] Every revenue seat on the forecast has a founder-confirmed repeatable sales motion behind it.
- [ ] Each seat, or shared seat group, has 8 to 9 graded candidates, at least five of them slate-ready.
- [ ] No candidate's stage-match grade rests on title alone.
- [ ] Every timing grade uses the person's actual start date, not an average tenure.
- [ ] Every warmth grade above 0 has a logged two-way exchange this quarter, with date and channel.
- [ ] Every profile has an Article 14 notice date and names portfolio companies as recipients.
- [ ] UK seats draw on cross-border candidates or share names with other seats.
- [ ] The next quarterly refresh date is on the calendar.

## Frequently asked questions

### How many candidates should a VC talent partner keep per executive seat?

Keep 8 to 9 graded candidates per forecast seat. At a 60% warm response rate it takes 9 contacts to get 5 interested people, so a bench of five will usually produce fewer than five names when a search opens. If you cannot reach 8 or 9 for every seat, share one larger bench across similar seats, such as two Series A B2B SaaS companies forecast to need a VP Sales in the same quarter.

### How do I forecast which executive roles our portfolio companies will need?

Start from a round ledger with close dates and current exec rosters, apply a sector seat sequence to months since close, and add backfills. In B2B SaaS one benchmark puts VP Sales first in months 1 to 4 after a Series A. For backfills, multiply each recent hire by their role's 18-month departure rate and divide by three. Then correct the sequence with your own portfolio's hire dates.

### Is it legal for a fund to keep a bench of executives who never applied?

In the EU and UK it can be, under legitimate interest, if you send an Article 14 notice within one month of collecting the data and hold it for a defined purpose. One guide states that building a database just in case is not legal, so tie every profile to a forecast seat. Name the portfolio company before sharing anything. In California, ask counsel whether CCPA thresholds apply to your fund.

### How do I keep a VC talent network warm between searches?

Log the date and channel of each person's last real two-way exchange and refresh every quarter. A name you have not spoken to this quarter is not warm, however well a partner knows them. Each quarter, check employer, start date, and interest, remove anyone stale, and fill gaps through same-function introducers, whose referrals were hired at 5.2% against 3.1% for others in one dataset.

### Should the first executive hire after a Series A be a VP Sales?

Often, in B2B SaaS, but not by default. One search firm puts VP Sales or CRO first, in months 1 to 4, while another lists VP Engineering or Head of Product as the typical first exec. In DevTools, hiring a VP Sales before a product-led motion exists is a common failure. Confirm founder-led sales is repeatable before forecasting the seat.

### How much time does running a portfolio exec bench take?

Plan on half of one person's time, which is what one network software vendor recommends for network management. My unsourced estimates are about 1 day to build the ledger, half a day per quarter to forecast, 1 hour per bench spec, and 15 minutes per graded candidate. Six seats at nine candidates each comes to roughly 20 hours of spec and grading work per cycle, before sourcing and outreach.

---

*From the Refolk guide library. I revise these guides rather than replacing them, so the current version is always at https://www.refolk.ai/guides/portfolio-exec-bench-playbook*