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A founder recently told me he wanted to hire five more SDRs.
The problem?
His three existing SDRs weren’t booking any meetings.
So I asked him: “If your current SDRs aren’t generating results, what makes you believe five more will?”
That’s the first trap in outbound planning: scaling a system that isn’t working.
I experienced the opposite at Chili Piper.
We had a working outbound motion. But as we expanded the SDR organization, we started running out of high-quality accounts to distribute across the team.
Productivity dropped, and we eventually had to reduce the team.
One company wanted to scale before its system worked. The other scaled beyond what its market could support.
Both made the same assumption: needing more pipeline meant needing more people.
Here’s what those experiences taught me.
Before deciding how many SDRs to hire, you need to understand three things:
How much additional qualified pipeline you need, and when.
What’s preventing your existing team from generating more.
Whether your market and organization can support additional production.
And there’s another principle I want you to keep in mind throughout this newsletter.
Your SDR team’s productivity isn’t defined by the quota you assign. It’s constrained by the productive ceiling of the environment you build.
Your best SDRs can help you understand what’s possible. But your job as a leader is to create the conditions that make strong performance repeatable across the team.
That’s why I’d approach your 2027 outbound plan in three steps:
DIAGNOSE: What’s actually preventing you from generating more pipeline?
BET: Where should you invest to close that gap?
SCALE: When do you need additional capacity, and how quickly can your organization support it?
I’ll walk you through the process using a hypothetical company targeting $5M in new ARR, alongside lessons from my experience and other revenue leaders.
We’ll also see how the same SDR hiring plan could support anywhere from $2.37M to $3.16M in expected new ARR, depending on the productivity your system actually enables.
Let’s start with the numbers.
PART 1 - DIAGNOSE: What do you actually need?
1. Start with your revenue goal, not headcount
Imagine your company wants to generate $5M in new ARR in 2027.
Each AE carries a $600K annual quota.
Someone opens a spreadsheet:
$5M ÷ $600K = 8.3.
So the company plans to have nine AEs.
On paper, that’s $5.4M in annual quota capacity.
Problem solved?
Not quite.
That calculation assumes those AEs can collectively achieve approximately 93% quota attainment, contribute for the full year, and have enough qualified opportunities to close.
What happens if you hire more sellers but don’t generate more qualified pipeline?
You end up with more people competing for the same opportunities.
This is what I’d call the headcount trap: adding people to make a revenue target look achievable without demonstrating that your system can support them.
The top-down revenue planning mistake
In The Secret Weapon to GTM Scaling: Bottoms Up Model, Mandy Cole from Stage 2 Capital explains a common annual planning mistake.
Companies start with a revenue target and build assumptions around headcount, quotas, and conversion rates.
When the numbers don’t match the target, they add more people or increase their productivity assumptions.
But those improvements haven’t necessarily been demonstrated.
The spreadsheet works. The business might not.
The problem isn’t having an ambitious revenue target.
It’s treating that target as evidence that your organization can achieve it.
Stage 2 recommends starting with actual performance from the previous three to six months, building a bottom-up baseline, and comparing it with your financial plan.
The difference shows what you still need to solve.
Let’s apply that principle to outbound.
Calculate how much pipeline you need
For our hypothetical company, assume:
$5M in new ARR targeted for 2027.
60% expected from outbound.
$25K average contract value.
20% qualified opportunity win rate.
Outbound needs to contribute $3M.
At $25K per customer, that’s 120 customers.
With a 20% win rate, we need 600 qualified opportunities.
That’s approximately $15M in unweighted pipeline.
For simplicity, we’ll assume SDRs are responsible for sourcing all 600 opportunities.
In your own plan, you should separate SDR-sourced opportunities from those generated through AE prospecting, events, partners, and other channels before calculating SDR headcount.
But there’s another important question.
When do those opportunities need to be created?
You could divide 600 opportunities by twelve months.
That’s 50 per month.
But what if your sales cycle is four months?
An opportunity created in October might not close until February 2028.
For simplicity, let’s assume we’re starting 2027 with no existing qualified pipeline and every qualified opportunity takes exactly four months to close.
To contribute to our 2027 closed-won ARR target, we’d need those 600 opportunities created by the end of August.
600 ÷ 8 months = 75 qualified opportunities per month.
That’s 50% more monthly production than our initial calculation.
Of course, your actual forecast should account for opening pipeline, different sales cycles, and conversion rates by segment.
You also need to consider the time between starting prospecting and creating an opportunity.
If it typically takes 30 days for an activated account to become an SQO, you need to begin that work earlier.
Work backward from when you need the revenue, not just how much revenue you need.
I experienced a similar problem while helping a team plan Q4.
During our Q3 review, we realized our Q4 plan hadn’t properly accounted for Thanksgiving and the late-December slowdown.
Instead of assuming every month would contribute equally, we moved more pipeline-creation work into October.
October went on to become our biggest pipeline month.
I wouldn’t credit the spreadsheet itself for that result.
The most valuable work was the QBR reflection: identifying a timing problem early enough to change our priorities.
For our example, we’ll use 75 SQOs per month from January through August as our simplified target.
Now, can our existing team produce that?
2. Find the bottleneck, and understand your team’s productivity ceiling
Let’s say our hypothetical company has five SDRs.
Together, they generate 30 qualified opportunities per month.
That’s an average of six SQOs per SDR, against a required team output of 75.
We’re missing 45.
Should we hire more SDRs?
Maybe.
But first, why is our team generating 30 opportunities rather than 40, 50, or more?
This is where I think leaders sometimes misunderstand SDR productivity.
Your quota isn’t your productivity ceiling
Imagine leadership gives each SDR a quota of eight qualified opportunities per month.
Five SDRs × eight opportunities = 40 SQOs.
But the team is only generating 30.
You could conclude that the SDRs aren’t performing and need to improve.
However, I’d want to understand what’s happening underneath that average.
Imagine their individual results look like this:
SDR 1: 10 SQOs.
SDR 2: 7 SQOs.
SDR 3: 5 SQOs.
SDR 4: 4 SQOs.
SDR 5: 4 SQOs.
That’s still 30 opportunities.
But now we can ask a much more interesting question:
Why is one SDR generating ten opportunities while others generate four or five?
Is the top SDR better at prospecting?
Do they have stronger messaging?
Are they working better accounts?
Do they have better contact information?
Do they spend less time researching and more time speaking with prospects?
Or have they developed a more effective process that the rest of the team hasn’t adopted?
Your best performers can reveal what’s possible.
But don’t assume that because one SDR generates ten opportunities, everyone should automatically generate ten.
Maybe that rep has a better territory, more experience, or access to accounts with stronger buying intent.
The goal is to understand which parts of their performance can be replicated and which depend on circumstances the rest of the team doesn’t have.
When I first started leading SDR teams, I focused heavily on coaching and training.
Those things matter.
But over time, I realized that productivity also depends on the environment around the rep.
That’s why I believe your team’s sustainable productivity ceiling is influenced by the system you build:
The quality of accounts you’re targeting.
The accuracy and availability of contact data.
Your messaging and value proposition.
Your prospecting workflows and tools.
Your SDRs’ skills and knowledge.
The coaching and management they receive.
How effectively SDRs and AEs work together.
You can raise quotas without changing any of those conditions.
But that doesn’t mean you’ve raised productivity.
The question isn’t just how much more you expect from your SDRs. It’s what needs to change for that level of performance to become consistently achievable.
Find where you’re losing opportunities
I’d start by tracking how accounts move through your funnel:
Target accounts: Companies that genuinely fit your ICP.
Activated accounts: Accounts your SDRs have started prospecting.
Engaged accounts: Accounts with meaningful two-way engagement.
Meeting accounts: Accounts where a meeting has been held.
Opportunity accounts: Accounts with qualified opportunities accepted by an AE.
Won accounts: Accounts that became customers.
Then measure conversion rates and the time required between stages.
For example:
If you activate another 100 qualified accounts, how many accepted opportunities should you expect?
Let’s apply that to our company.
Each of the five SDRs activates 100 qualified accounts per month.
That’s 500 account activations.
Historically, 6% of those account cohorts eventually become accepted opportunities.
At a steady state, accounting for the normal conversion lag:
500 accounts × 6% = 30 SQOs per month.
Now imagine we discover that some of our better-performing account cohorts convert at 8%, or even 10%.
What if we could improve our overall conversion from 6% to 8%?
The same 500 account activations would generate approximately 40 SQOs.
Ten additional opportunities without hiring another SDR.
That’s equivalent to moving our average SDR productivity from six to eight opportunities per month.
We haven’t proven that improvement is achievable across the whole team.
But we’ve identified something worth investigating.
Five checks I use to diagnose SDR performance
Effort: Are SDRs spending enough time on qualified prospecting?
Knowledge: Do they understand their buyers, problems, and use cases?
Skills: Can they create relevant conversations?
Coaching: Are managers helping them improve the behaviors limiting performance?
Systems: Are targeting, data, tools, and workflows helping or slowing them down?
For example, if SDRs spend hours researching companies that don’t fit your ICP, coaching them to make more calls won’t solve the account-selection problem.
If their contact data is inaccurate, adding more calling hours might increase wasted activity.
And if AEs reject most meetings, increasing bookings doesn’t necessarily generate more useful pipeline.
The goal is to understand what’s limiting production before deciding how to increase it.
But even if you improve the system, there’s another constraint you can’t ignore.
3. Check whether your market can support more capacity
I learned this the hard way at Chili Piper.
In 2022, we were scaling the SDR organization aggressively.
Our outbound motion worked, and our hiring model suggested we could eventually need more than 80 SDRs.
But we hadn’t properly accounted for the number of high-quality accounts available.
As we expanded from approximately 20 to 30 SDRs, productivity started declining.
At one point, each SDR had around 400 assigned accounts.
But only about 100 were genuinely ICP-fit.
The other accounts were much weaker opportunities.
As we grew, we couldn’t keep distributing the same quality of accounts across the team.
We eventually had to reduce headcount by ten SDRs.
Our mistake?
We assumed the next SDR would have access to the same opportunity potential as the existing team.
Your market isn’t as large as your CRM suggests.
In a separate, later territory-planning exercise, I estimated approximately 11,000 ICP-fit accounts globally for Chili Piper at the time.
Under that model’s prospecting cadence, each SDR needed around 600 accounts to sustain their workload.
That suggested roughly 18 SDR territories.
It wasn’t a permanent or universal limit. The market could expand through new products, segments, or acquisition strategies.
But it was a better way to evaluate headcount than assuming every company in our CRM was a viable opportunity.
And remember:
Equal account counts don’t necessarily mean equal revenue potential.
Giving every SDR 500 accounts doesn’t mean they have the same opportunity to hit quota.
One territory might contain companies with strong ICP fit, buying potential, and relevant timing.
Another might contain mostly accounts with little realistic opportunity.
Apply this to our $5M example
Our five existing SDRs activate 500 qualified accounts per month.
What happens if we hire six more?
At full prospecting activity, assuming each SDR continues activating 100 accounts per month, we’d need:
11 SDRs × 100 accounts = 1,100 qualified account activations per month.
That’s more than double our current volume.
Do we have enough qualified accounts to sustain that?
And will the next 600 accounts we activate each month be as good as the first 500?
If account quality declines as we expand, our historical 6% conversion rate might not hold.
That means hiring more SDRs could actually reduce average productivity.
Before expanding your SDR team, answer:
How many companies genuinely fit your ICP?
How many are reachable and eligible for prospecting?
How much qualified account coverage does each SDR need?
What happens to territory quality when you add more reps?
Mark Roberge’s Science of Scaling adds another useful idea: evaluate which product-market-channel combinations are ready to scale and which still require experimentation.
Your mid-market outbound motion might be highly productive while enterprise outbound is still experimental.
Those motions shouldn’t receive the same hiring assumptions.
By now, we understand three things about our hypothetical company:
We need 75 SQOs per month to support our revenue target.
Our existing five SDRs generate 30, but there may be an opportunity to increase their productivity.
Adding SDRs will only work if we can provide enough high-quality accounts and the right environment for them to succeed.
The next question is where to invest.
PART 2 - BET: Where should you invest?
Our company needs 75 SQOs per month.
Its five SDRs currently produce 30.
That’s a 45-SQO gap.
We could hire more SDRs.
But what if part of that gap could be closed by improving the system around the existing team?
1. Compare the investments that could close the gap
One story that stuck with me came from my conversation with Will Rohleder, SDR Director at TeachTown.
When Will joined TeachTown in March 2024, the four-person SDR team was sitting on roughly $200K in pipeline.
Within about a month, those same four reps were generating around $600K in pipeline per week.
Those figures represent different measurements, a starting pipeline snapshot and a later weekly production rate, so I wouldn’t use them to calculate a precise improvement percentage.
But what changed operationally is worth understanding.
Will narrowed territories to one to three states per rep, standardized outreach, improved messaging, and paired SDRs with a smaller group of AEs.
Instead of immediately adding more people, he improved how the existing team worked.
That’s an example of what I mean by raising the team’s productive ceiling.
Before hiring more SDRs, understand how much additional production you could unlock by improving your current operation.
Let’s compare three approaches for our hypothetical company.
Option A: Hire ten additional SDRs
With 15 SDRs producing six SQOs each, we’d generate:
15 × 6 = 90 SQOs per month.
Enough to reach our target once everyone is fully productive.
But we’d need enough qualified accounts for 15 SDRs, plus the resources to recruit, onboard, coach, and support ten new people.
Option B: Improve existing SDR productivity
Remember our earlier account conversion example?
We calculated that moving from 6% to 8% could generate ten additional opportunities per month from the same 500 activated accounts.
What if we invested in GTM engineering to help achieve that improvement?
For example:
Account prioritization: Help SDRs focus on accounts with stronger fit and buying signals.
Data enrichment: Automate contact discovery and verification instead of relying on manual research.
Prospecting workflows: Reduce repetitive preparation and CRM administration so SDRs spend more time on qualified prospecting.
A GTM engineer might help remove some of the constraints limiting the team’s productivity.
But only if those constraints are actually related to targeting, data, or workflows.
If the real problem is weak messaging or poor sales skills, improving enrichment won’t automatically fix it.
Let’s assume we successfully increase productivity from six to eight SQOs per SDR.
5 × 8 = 40 SQOs per month.
That’s ten additional opportunities without hiring another SDR.
We’re still short of the target, but we’ve improved our existing capacity.
Option C: Improve the system, then add six SDRs
What if we combined both investments?
First, improve the existing five SDRs from six to eight SQOs each.
Then hire six additional SDRs.
For now, we’ll conservatively forecast those new hires at the existing demonstrated productivity of six SQOs per month.
That gives us:
Existing team: 5 × 8 = 40 SQOs.
New hires: 6 × 6 = 36 SQOs.
Total: 76 SQOs per month.
Enough to reach our target, on paper.
But remember our earlier discussion about the productivity ceiling.
If we’ve genuinely improved the environment for the entire team, shouldn’t our new hires eventually benefit too?
They should, provided the improvements are repeatable and the new hires have access to comparable accounts, workflows, and coaching.
If all eleven SDRs could sustainably generate eight SQOs per month, our new full-productivity potential would be:
11 × 8 = 88 SQOs per month.
That’s substantially different from the original 76.
However, we haven’t demonstrated that the improvement will work for the existing team, let alone new hires.
So we shouldn’t automatically include that higher number in our forecast.
The opportunity is to build a better system. The risk is assuming it works before we’ve proven it.
Don’t forget the economics
I discussed this with Jay Glenn in our episode on building a profitable outbound SDR team.
It’s not enough to show leadership that an investment will generate more opportunities.
You need to demonstrate that the additional revenue justifies the cost.
I’d compare five things:
Impact: How much incremental qualified pipeline and expected closed-won revenue could the investment generate?
Time: How long until those results materialize?
Cost: What’s the fully loaded investment, including salaries, tools, onboarding, management, and ongoing support?
Evidence: What makes us confident the expected improvement is achievable?
Risk: What happens if productivity, hiring, ramp, or territory quality falls short?
Then compare the expected incremental customer acquisition cost and payback period.
An investment that generates more SQOs isn’t necessarily more profitable.
You also need to consider gross margin, customer retention, and whether those opportunities represent genuinely incremental demand.
If an SDR gets credit for an opportunity marketing would have generated anyway, you haven’t necessarily created additional revenue.
The objective isn’t to hire the most SDRs or automate the most tasks. It’s to generate the additional revenue you need at a sustainable cost, within the time available.
And that requires treating your assumptions differently.
2. Treat investments as bets, not guarantees
This connects to Annie Duke’s book, Thinking in Bets.
One of her central ideas is that a good decision doesn’t guarantee a good outcome.
You can make a well-reasoned decision and still lose.
And you can make a bad decision that works out through luck.
The objective is to use the best available evidence while remaining willing to update your decisions as you learn.
That’s exactly how I’d approach annual planning.
Take our proposed GTM engineering investment.
We believe improving targeting, enrichment, and prospecting workflows could increase productivity from six to eight SQOs per SDR.
That’s a 33% improvement.
But believing an improvement is possible isn’t the same as having evidence that it’s achievable.
Here’s how I’d structure that investment:
Hypothesis: Better account prioritization and less manual prospecting work will increase AE-accepted opportunities per SDR.
Owner: The SDR leader is accountable for the outcome, supported by GTM Engineering and RevOps.
Test: Implement the improvements and compare qualified account cohorts against a credible baseline.
Success criteria: More accepted opportunities without reducing opportunity quality or downstream conversion.
Decision: Keep six SQOs per SDR in the baseline forecast until the improvement has been demonstrated.
I’d also want to know whether the improvement works beyond our best performers.
If one experienced SDR goes from ten to twelve opportunities, that’s encouraging.
But if everyone else remains at four or five, we haven’t necessarily created a system that scales.
I’d want to see whether the improvement can be adopted by average performers and new hires working comparable accounts.
That’s how we distinguish a productivity improvement that depends on one individual from one that can be replicated.
And there’s another trap.
Saving five hours of research per SDR doesn’t automatically create five additional hours of productive prospecting, or more revenue.
Those hours need to be reinvested into useful activities that generate additional qualified opportunities.
Otherwise, you’ve improved efficiency without demonstrating additional pipeline.
Separate what your team reliably produces today from what you’re investing to improve tomorrow.
For budgeting, I find it useful to separate investments into three categories:
RUN: Maintain the existing operation, tools, data, and essential processes.
GROW: Expand proven motions and improvements with demonstrated results.
BET: Fund new segments, channels, and workflows that still need validation.
That distinction prevents every promising idea from becoming guaranteed capacity in your revenue forecast.
It also creates room for something I believe more companies should invest in.
3. Give Outbound R&D its own resources
I believe Outbound R&D is one of the most overlooked parts of annual planning.
Companies define their ICP, build sequences, hire SDRs, and expect the same motion to keep producing more pipeline.
But your market changes.
Your best accounts become saturated.
Buyer priorities evolve.
And different segments or acquisition channels might offer better opportunities than the ones you’re already pursuing.
Your next opportunity for growth might not be another SDR or a better sequence. It might be a segment you haven’t tested.
An experiment that changed our segmentation
For one customer, I built the outbound operation from scratch.
We initially targeted employers directly.
The problem?
It was a crowded market.
Many employers already had solutions in place, and identifying the right buying timing was difficult.
We could have continued optimizing our messaging, adding more prospects, and trying to improve reply rates.
Instead, someone on the customer’s team suggested testing a different segment.
What if we targeted partners rather than employers directly?
These partners already had relevant customer relationships and were looking for solutions they could add to their portfolios.
So we tested it.
And the responses were noticeably better.
We hadn’t necessarily discovered a better way to convince the same buyers.
We’d discovered a different buyer with a different reason to engage.
There was a trade-off.
Selling directly meant retaining more of the deal value.
Selling through partners meant sharing part of the revenue.
But the stronger engagement suggested that this could be a more promising acquisition route.
I recommended shifting more of our prospecting resources toward that segment.
By month four of our broader engagement, the customer had closed a $1.5M deal.
I wouldn’t attribute that entire result to one experiment in isolation.
But the combination of stronger engagement and the commercial outcome reinforced why testing alternative segments mattered.
Sometimes the biggest improvement doesn’t come from doing more of what you’re already doing. It comes from changing who you’re targeting and how you’re reaching them.
Imagine if we’d simply continued increasing activity against the original segment.
We might have spent months optimizing a motion that was fundamentally harder to scale.
Instead, a relatively focused experiment gave us evidence to reconsider where we were investing.
And that’s why I wouldn’t wait until your existing outbound motion stops performing before exploring the next opportunity.
Experiments take time.
If you only start testing new segments or channels once your existing motion reaches its ceiling, you may be too late to replace the lost pipeline.
How could this change our $5M plan?
Remember, we’ve assumed SDRs are responsible for generating all 600 qualified opportunities.
But what if we discovered a partner channel that could contribute additional qualified opportunities?
Let’s imagine we tested that channel and eventually demonstrated that it could generate ten qualified opportunities per month.
If it reliably contributed that amount from May through August, that’s:
10 opportunities × 4 months = 40 additional SQOs.
Assuming the same 20% win rate and $25K contract value, those 40 opportunities could contribute approximately $200K in expected new ARR before accounting for any partner revenue share.
Our SDR-sourced opportunity requirement would fall from 600 to 560, provided those partner opportunities genuinely replace part of the target and close within 2027.
That could change how much SDR capacity we need.
Of course, partner-sourced opportunities may have different win rates, sales cycles, and economics. Your actual model should use the results of that channel.
And until we’ve demonstrated its contribution, those 40 opportunities belong in an upside scenario, not the committed forecast.
This is why Outbound R&D matters to annual planning.
A successful experiment can change the assumptions behind your entire investment plan.
How I’d approach Outbound R&D in 2027
I wouldn’t expect SDRs to invent new acquisition strategies between their prospecting activities.
Leadership should dedicate time and resources to a small number of experiments that could materially improve the system.
Perhaps it’s:
Testing a new customer segment with a different buying motivation.
Using buying signals to identify accounts with more relevant timing.
Testing partners, customers, or events as alternative acquisition channels.
Improving targeting and preparation so SDRs can focus on better opportunities.
For each experiment, define the hypothesis, owner, resources, success metric, and date when you’ll make a decision.
And don’t declare an experiment successful based on reply rates alone.
Look at conversation quality, accepted opportunities, downstream conversion, and the economics of that acquisition route.
Then ask:
If this experiment works, what would we do differently?
Would you reallocate SDR capacity?
Change your targeting strategy?
Invest in a different channel?
Or reconsider whether additional headcount is necessary?
If an experiment can’t inform a meaningful decision, question whether it deserves resources.
But even when you’ve identified the right investments, there’s still another problem to solve.
Will they produce results in time to support your revenue target?
That’s where your hiring and capacity plan comes in.
PART 3 - SCALE: When and how fast should you hire?
There are two different questions to answer:
When do you need additional people for their work to contribute to your revenue target?
How quickly can your organization recruit, onboard, and support those people effectively?
Reaching your desired headcount doesn’t mean you’ve created the productive capacity you need.
1. Work backward from the revenue deadline
According to The Bridge Group’s 2025 SDR research, average SDR ramp is approximately three months.
Its 2026 AE study reports an average AE ramp of 6.2 months.
Those are external benchmarks. Your historical ramp data should take priority when building your forecast.
And remember: reaching full ramp doesn’t guarantee quota attainment.
A fully ramped SDR is someone who’s had enough time to reach expected productivity, not someone who automatically produces their assigned quota.
Your forecast should reflect what your team has demonstrated under comparable conditions.
Model productivity month by month
Ashley Kelly shared a useful example of how Rippling approached SDR ramp.
Rather than treating new SDRs as completely unproductive until they finished onboarding, the company used progressive monthly quotas.
In her example, new SDRs ramped toward eight AE-accepted opportunities:
Month 1: Two.
Month 2: Four.
Month 3: Six.
Month 4 onward: Eight.
Let’s adapt that principle to our company.
Assume a fully productive SDR generates six SQOs per month.
Using an illustrative 25% / 50% / 75% / 100% ramp curve:
January: 1.5 SQOs.
February: 3 SQOs.
March: 4.5 SQOs.
April onward: 6 SQOs per month.
Over the full year, that January hire generates approximately 63 SQOs, compared with 72 for someone producing at the full rate from January.
These figures represent qualified opportunities generated each month. In your own plan, you’d use your historical ramp and account-to-opportunity timing rather than assuming every new SDR can create opportunities immediately.
Now add our four-month sales cycle.
Opportunities created in January would be expected to close in May.
February’s in June.
March’s in July.
And opportunities generated during the rep’s first fully productive month in April wouldn’t be expected to close until August.
This is why your hiring plan needs to account for recruiting lead time, SDR ramp, and the sales cycle.
If you need a new SDR to reach full productivity in January, you might need that person to start in October of the previous year.
Which means recruiting needs to begin even earlier.
Your 2027 revenue target may depend on hiring decisions made in 2026.
Don’t forget attrition
The Bridge Group’s 2025 SDR research reports 40% median annual attrition in 2024, including departures and promotions.
That doesn’t mean you should automatically assume 40% of your own team will leave.
Use your historical data to model departures, promotions, replacement hiring, and ramp time.
Here’s why.
Imagine one fully productive SDR generating six SQOs per month leaves at the end of April.
The position remains vacant in May and June.
A replacement starts in July and follows our ramp assumptions.
By the end of August, the original SDR would have generated another 24 opportunities.
The replacement generates only 4.5.
That’s 19.5 opportunities lost, or approximately $97,500 in expected new ARR under our assumptions.
We’ll treat this as a separate downside risk rather than automatically subtracting it from every scenario in our main example.
The lesson?
Replacing headcount doesn’t immediately replace productive capacity.
And before adding more SDRs, make sure your AEs can handle the additional opportunities.
Otherwise, you’re simply moving the bottleneck further down the funnel.
2. Don’t hire faster than your organization can support
This brings us back to Mark Roberge’s Science of Scaling.
His point isn’t simply that phased hiring changes when revenue arrives.
It’s that rapid hiring can overwhelm the systems responsible for making people successful.
Imagine your company decides to hire ten SDRs in January.
The budget is approved.
Your outbound motion works.
You have enough qualified accounts.
But can your organization successfully absorb ten new people at once?
Can recruiting find the right candidates without lowering standards?
Can managers onboard and coach everyone without neglecting the existing team?
Can RevOps provide territories, data, and functioning workflows?
Let’s make that concrete.
Our hypothetical company currently has five SDRs.
Under Option C, we’d add six more.
That’s eleven SDRs.
The Bridge Group reports an average of 6.4 SDRs per first-line leader.
That’s not a universal maximum.
But if all eleven SDRs report to one manager, I’d question whether that person can onboard six new hires effectively while continuing to develop the existing team.
You might need additional management capacity.
And that’s another investment your plan needs to account for.
This connects directly to our earlier discussion about productivity ceilings.
You can’t expect higher SDR productivity while weakening the environment that’s supposed to help them achieve it.
Adding six SDRs without enough coaching, qualified accounts, or operational support could reduce the productivity of both new and existing reps.
Think about hiring as a pace, not a one-time event
Roberge illustrates an alternative approach.
Instead of hiring a large cohort immediately, a company might hire two salespeople per month for six months.
During that period, the organization improves recruiting, onboarding, management, and operational support.
If its product-market-fit and go-to-market-fit indicators remain healthy, it can accelerate to four hires per month.
If they deteriorate, it can investigate and adjust before the problem becomes more expensive.
The point isn’t that hiring slowly is always better.
Hire at the fastest pace your organization can successfully support.
Hiring too slowly can delay revenue.
Hiring too quickly can compromise the quality and productivity of the entire team.
Now let’s see why timing and productivity assumptions matter for our $5M example.
3. Let’s finish our $5M planning example
Earlier, Option C suggested we could generate 76 SQOs per month by improving our five existing SDRs and hiring six more.
But that was a full-productivity projection.
What happens when we account for ramp time and whether the productivity improvement actually works?
We’ll keep the same simplifying assumptions: all six hires start in January, there are no departures, and accepted opportunities take four months to close.
First, calculate what the new hires contribute
At the original productivity level of six SQOs per month, each new SDR generates:
January: 1.5.
February: 3.
March: 4.5.
April–August: 30.
That’s 39 SQOs per new SDR between January and August.
Across six hires:
6 × 39 = 234 SQOs.
Now let’s examine what happens to the existing team.
Scenario 1: Productivity stays the same
Our five existing SDRs continue generating six SQOs per month.
Between January and August:
5 × 6 × 8 = 240 SQOs.
Add the 234 from our new hires.
Total: 474 SQOs.
At a 20% win rate and $25K average contract value, that’s approximately $2.37M in expected new ARR.
We needed $3M.
We’re $630K short.
And that’s already assuming all six new SDRs start on time and ramp exactly as expected.
Scenario 2: The existing team improves
Now assume our GTM engineering investment successfully increases the existing five SDRs’ productivity from six to eight SQOs per month immediately in January.
Between January and August:
5 × 8 × 8 = 320 SQOs.
Add the same 234 opportunities from our new hires, who are still forecast at the original productivity level.
Total: 554 SQOs.
That’s approximately $2.77M in expected new ARR.
We’re still $230K short.
But notice the difference.
Our productivity improvement represents 80 additional SQOs, or $400K in expected new ARR.
That’s the potential upside we’re betting on when we invest in improving our existing team.
It doesn’t mean hiring a GTM engineer automatically creates $400K in revenue.
It means our forecast changes significantly depending on whether that improvement materializes.
And even if it works, we still miss the target.
Scenario 3: We raise the productivity ceiling across the entire team
Now let’s return to our earlier principle.
If our investment genuinely improves the environment, better account selection, more accurate data, more efficient workflows, and stronger coaching, our new hires should eventually benefit too.
Let’s assume we’ve proven the improvement can be replicated and that our new SDRs can reach eight SQOs per month once fully ramped.
Their illustrative ramp becomes:
January: 2 SQOs.
February: 4 SQOs.
March: 6 SQOs.
April onward: 8 SQOs per month.
Between January and August, that’s 52 SQOs per new hire.
Across six hires:
6 × 52 = 312 SQOs.
Add the 320 opportunities generated by our improved existing team.
Total: 632 SQOs.
At our assumed win rate and contract value, that’s approximately $3.16M in expected new ARR.
Now we’re $160K above our $3M target.
Same number of SDRs.
Same January hiring dates.
Same customer contract value and win rate.
But a different productivity outcome.
The difference between our first and third scenarios is 158 qualified opportunities, or $790K in expected new ARR.
And we didn’t get there simply by assigning higher quotas.
We got there by assuming the organization could create and replicate a more productive outbound system.
That’s a much more meaningful investment thesis.
But remember: Scenario 3 is an upside case, not a committed forecast.
It assumes the productivity improvement is achieved immediately by the existing team, works for new hires, and can be sustained as the organization grows.
We still need to prove those assumptions.
And if hiring or implementation is delayed, the revenue contribution shifts with it.
Reaching your desired monthly productivity doesn’t recover opportunities you failed to create earlier in the year.
Does that mean improving productivity is always better than hiring more SDRs?
Not necessarily.
Remember Option A, where we hire ten additional SDRs instead of six?
Under the same January-start and ramp assumptions, those ten hires would generate 390 SQOs by the end of August.
Our existing five SDRs, still producing six each per month, would generate another 240.
That’s 630 SQOs, supporting approximately $3.15M in expected new ARR.
On paper, Option A also exceeds the target.
So we have two very different ways to potentially achieve a similar outcome:
Hire ten additional SDRs at the existing productivity level.
Improve the system and hire six SDRs who eventually reach the higher productivity level.
Which is the better investment?
We can’t answer that with opportunity volume alone.
We need to compare the cost, recruiting and implementation timelines, evidence behind the productivity assumptions, and the market’s ability to support the additional capacity.
We also need to check AE capacity.
If we’re generating 75 qualified opportunities per month and have nine fully productive AEs, that’s approximately 8.3 new SDR-sourced opportunities per AE per month, before accounting for opportunities from other channels.
Can those AEs work that volume effectively while managing their existing pipeline?
If not, we’ll have moved the constraint from opportunity generation to sales capacity.
And remember our Outbound R&D experiment?
If we prove a partner channel can reliably contribute 40 additional SQOs before the closing deadline, that could also change which investment we need.
For example, 40 incremental partner opportunities would close most of the 46-SQO gap in Scenario 2, assuming comparable win rates, sales cycles, and no double-counting.
That’s why you should evaluate the whole acquisition system rather than assuming every revenue gap requires more SDRs.
A headcount plan tells you how many people you intend to employ. A revenue-capacity plan tells you what those people, and the system around them, can realistically produce before the revenue is needed.
That’s the distinction your planning process needs to uncover before you commit the budget.
4. Decide when to accelerate, maintain, or slow down
Your 2027 plan shouldn’t only tell you what to invest in.
It should tell you what evidence would justify changing that investment.
Before approving the plan, I’d run a pre-mortem.
Imagine it’s December 2027.
You’ve missed your outbound target.
What were the three assumptions most likely to have been wrong?
Maybe your addressable market was smaller than expected.
Maybe the 33% productivity improvement never materialized.
Maybe hiring and ramp took longer than planned.
For each assumption, identify an early warning signal and decide what you’ll do if it appears.
You’re not trying to predict everything that could go wrong.
You’re deciding in advance what would make you change your plan.
Mark Roberge uses a concept called the speedometer: monitoring leading indicators of customer retention and scalable unit economics to determine whether a company can safely accelerate growth.
For an outbound organization, I’d also monitor five things:
Productivity: Are new hires ramping as expected, and is the improved performance repeatable across the team?
Market capacity: Do the next territories contain enough high-quality accounts?
Opportunity quality: Are accepted opportunities converting into customers?
Economics: Does the additional revenue justify the investment?
Organizational readiness: Can recruiting, managers, and operations support another cohort?
Then define three possible decisions.
ACCELERATE: Your system is performing, improvements are repeatable, and the organization can support more capacity.
MAINTAIN: Results are promising, but important assumptions still need validation.
SLOW OR REDESIGN: Ramp, account quality, downstream conversion, or operational support is deteriorating.
For example, imagine it’s the end of March.
Our new SDRs are supposed to be at 75% of their eventual productivity.
If they’re consistently behind that expectation, I’d want to understand why before approving another hiring wave.
Are they receiving enough qualified accounts?
Are the new workflows helping them prospect more effectively?
Are AEs accepting their opportunities?
And can managers provide the coaching those reps need?
If the environment is limiting their performance, hiring another cohort could compound the problem.
On the other hand, if new hires are progressing as expected, opportunity quality is holding up, and the organization can support another cohort, accelerating becomes easier to justify.
The purpose of the review isn’t simply to report whether your team hit its numbers. It’s to decide whether your organization is ready for the next investment.
Before you approve your 2027 outbound plan
Open your current planning spreadsheet.
I want you to challenge three things.
1. What are you treating as guaranteed that hasn’t been proven?
Your expected SDR productivity? A higher conversion rate? Your ability to recruit ten people by January?
Separate what your system reliably produces today from the improvements you’re betting on.
And don’t confuse quotas with productive capacity.
Look at your best SDRs, understand what’s helping them succeed, and investigate which parts of that performance can be replicated across the team.
2. When will your investments actually contribute to revenue?
Don’t stop at full-ramp productivity.
Work backward through recruiting, SDR ramp, opportunity creation, and your sales cycle.
And account for what happens when someone leaves, gets promoted, or takes longer to ramp than expected.
3. What would make you change your plan?
Decide in advance what evidence would justify accelerating, maintaining, or slowing your investments.
Maybe you discover that your addressable market is smaller than expected.
Maybe a new partner segment performs better than your existing outbound motion.
Or maybe you find a way to raise your team’s productive ceiling without adding as much headcount.
Your plan should help you recognize those changes and make better decisions as you learn.
You won’t predict everything that happens in 2027.
But you can avoid building a revenue plan that only works if every assumption goes right.
A good outbound plan isn’t the one with the most ambitious headcount target. It’s the one that helps you make better investment decisions throughout the year.
Hope that was helpful. If you need help planning 2027, reply to this email. See you next week!
Elric
P.S. This is also the kind of problem I’m building the Outbound Kitchen Membership to help you solve: understanding what’s limiting your outbound results, identifying what matters most, and getting a clearer roadmap for what to work on next.