Generalist inputs fit roles whose output keeps changing shape, where one person covers several functions at once the way a founder does. A specialist fits once an input is clear enough that a defined action reliably produces a defined output. That shift arrives as a company moves from startup toward scale-up, on no fixed calendar.
So the question to ask before you open a role is about the work: does this function have a stable relationship between what you put in and what you get out? If it does, hire for depth. If it doesn't yet, you need someone who can move as the shape moves.
Why the Org Chart Breaks in Early-Stage Companies
A job description is a promise about stability. It says: here are your responsibilities, here is what you own, here is what good looks like in twelve months. That promise holds up beautifully in a company that already knows what it sells and to whom. In an early-stage company, the founder's own role is redrawn every few months, and every role built around the founder gets redrawn with it.
Our founder, Brigette, spent roughly a decade in those roles before building oAT, and her read on the structure is blunt:
"The org chart is gone. AI killed the org chart."
What actually changes underneath a generalist's role in the early days:
- The go-to-market motion, as founder-led sales starts to wane and something repeatable has to replace it
- The internal tooling, because the systems that held twelve people fall over at thirty
- The hiring plan, which is itself a moving target while the business is still finding its shape
- The definition of the biggest problem, which in a healthy startup should be different this quarter than last
None of that is dysfunction. A startup exists to create change, so a team designed to hold still is working against its own purpose [1].
how We Do: Reading Inputs and Outputs to Decide
The useful diagnostic is an audit of each function you are considering staffing. Run it in four steps.
1. Write the input down in one sentence
State the specific action or resource you would be handing this person. "Run paid acquisition on two channels with a set monthly budget" is an input. "Figure out how we grow" is a direction.
2. Name the output you expect from that input
Be concrete: qualified meetings booked, churn reduced in a named segment, a support queue answered inside a set response time. If you cannot name the output, the pairing isn't defined yet, and you are still in discovery.
3. Test how long the pairing will hold
Ask whether the input and output you just wrote down will still be the right pair in six months. Functions with durable pairings reward depth. Functions where the pairing keeps mutating reward range.
4. Choose the shape before you choose the person
Decide whether the work is generalist-shaped or specialist-shaped, then go find a human. Reversing that order is how founders end up with an excellent specialist and no one to hand them a clear brief.
| Step | Question | Generalist answer | Specialist answer |
|---|---|---|---|
| 1 | Can you state the input in one sentence? | Only loosely | Yes, precisely |
| 2 | Can you name the expected output? | It depends on what we learn | Yes, and it is measurable |
| 3 | Will the pairing hold for six months? | Unlikely | Very likely |
| 4 | What does the role need most? | Range and judgment | Depth and repetition |
The Founder's Own Role as the Original Generalist
Look at your own week. You are probably a marketer plus a salesperson, or a product lead plus a recruiter, or all four on a bad Tuesday. That combination is the original generalist role, and it exists because the company cannot yet afford, or even describe, four separate jobs.
There are two distinct things going on in that week, and conflating them is where hiring plans go wrong:
- Cross-functional work: connecting the dots between functions so marketing, sales and product are pointed at the same thing
- Multi-functional work: actually owning more than one functional role, delivering the output a full-time marketer and a full-time seller would each deliver
| Cross-functional | Multi-functional | |
|---|---|---|
| Core task | Coordination across owners | Ownership of several functions |
| What fails without it | Teams pull in different directions | Work simply doesn't get done |
| Who usually holds it | Chief of staff, head of ops | Founder, first operator hire |
| Scales by | Better rituals and systems | Adding or reshaping capacity |
The person you bring in to relieve a founder's week is doing both. Titles like head of operations, chief of staff, or head of go-to-market are labels stuck onto that reality after the fact, which is why two people with the same title at two companies can be doing almost nothing in common [2].
Generalist-Shaped Work vs Specialist-Shaped Work
Most companies carry both shapes at the same time. Some functions harden early. Others stay deliberately fuzzy for years while the business shape-shifts around them.
| Function | Clarity of input to output | Usual shape | Typical stage where it hardens |
|---|---|---|---|
| Paid acquisition on a proven channel | High: set budget, measurable return | Specialist | Once a channel repeats |
| Go-to-market before repeatability | Low: the motion is still being found | Generalist | Not yet |
| Technical SEO | High: defined scope, known outputs | Specialist | Once content matters to pipeline |
| Internal systems and rituals | Medium and moving | Generalist | Rarely fully hardens |
| Customer success at first scale | Medium: patterns emerging | Generalist, then split | As volume becomes predictable |
| Financial reporting and compliance | High: defined obligations | Specialist | Early, often part-time |
The mismatch that costs the most is putting specialist-shaped hiring against generalist-shaped work. As Brigette put it:
"Why do we keep putting specialized inputs when you need a generalist input to get an output? It doesn't make any sense."
Signals It's Time to Add a Specialist
The transition is readable in the work rather than on a calendar. Brigette's account of moving through companies from startup to scale-up describes it directly:
"As a company matures, and as I worked in companies that were going from startup to scale up, there are more specialized needs. It becomes clear where there are inputs that you can double down on, where you need a specialist, somebody focused on one specific thing, because if you give that clear input, you will get a very clear output."
Concrete triggers worth watching for:
- A channel repeats without supervision. The same play works three times in a row, so depth will compound instead of guessing.
- Your generalist starts requesting the same specialised task weekly. Repetition is evidence the input has stabilised.
- The bottleneck has a number attached to it. Named metrics that move with a known lever are specialist territory.
- Quality now beats speed for that function. When the marginal win comes from craft rather than coverage, hire craft.
- Handing the work off would not require explaining the whole business. A brief that fits on one page can be given to someone who joins only that lane.
Where none of these are true, adding depth gives you a person waiting for instructions that do not exist yet [3].
What Goes Wrong With a Premature Specialist Hire
Hiring depth too early produces a predictable set of failures. The specialist is rarely the problem.
- Idle expertise. A skilled person spends half their time on work outside their lane, which is the job they explicitly did not take.
- Founder load goes up. Someone with narrow scope needs a brief, so the founder becomes an input generator.
- Silent coverage gaps. Functions no one owns stay unowned, because the new hire's mandate makes it clear they are not theirs.
- Recycling. Eighteen months later the role has drifted and the fit is gone, through nobody's fault. Brigette describes being recycled out of roles for exactly this reason, as businesses matured normally around her.
Failures of this kind rarely show up as a hiring mistake in the retelling. They show up as a growth stall, which is also how they show up in the research on why early-stage companies fail [4].
Why the Model of Engagement Matters as Much as the Person
Two familiar routes exist for bringing flexible help onto a team, and each solves half of the problem. Consultancies scope a problem and bring outside experience to it, then leave the doing to you. Freelance marketplaces let you choose a person you trust for a task you can already specify.
oAT was built by borrowing the useful half of each: the problem-scoped engagement of the consulting model, the person-level matching of the marketplace, and the stability of a company that employs its operators. A generalist operator embeds on your team, works in your tools, and changes scope and capacity as the work changes. When a genuinely different skill set is called for, the work can pass to another operator instead of stalling.
Range across functions is where oAT's operators work: marketing, GTM, sales, business ops, customer success, product, AI workflows, community, and chief of staff support [5]. Britt Gage's own core competency as a full-time operator was growth, operations and people, three functions that stay fuzzy longest in a young company.
A Staffing Plan That Changes on Purpose
Write your hiring plan as a living document with two columns: functions whose inputs are stable, and functions still being discovered. Review it quarterly. Specialists get hired against the first column, permanently and with depth. The second column needs coverage that can flex, because whatever is fuzzy today will be a different kind of fuzzy next quarter.
A team, in the sense that matters here, is a group of people collaborating, coordinating resources and caring about the outcome. Payroll status is a contract detail. Trust is what actually produces the result, and trust is built person to person rather than assigned through a box on a chart.
FAQ
What's the difference between a generalist operator and a specialist hire?
A generalist operator owns work across multiple functions and changes scope as a company's priorities change, covering the kind of load a founder carries personally. A specialist owns one function in depth and delivers a defined output from a defined input. Generalists suit work whose shape is still moving; specialists suit work whose shape has settled.
How do I know when my startup is ready for a specialist?
Readiness shows up in the work rather than on a calendar. When a channel or process repeats reliably, when the bottleneck has a measurable lever attached, and when the brief for that function fits on one page without explaining the whole business, depth will pay off. Before those conditions appear, a specialist spends their time waiting for instructions.
Can one person be both cross-functional and multi-functional?
Yes, and early-stage operators usually are. Cross-functional work means connecting the dots between functions so they point in the same direction. Multi-functional work means owning more than one functional role outright, delivering what two or three separate full-time hires would each deliver.
Does the need for generalists change as a company scales?
The need shifts rather than disappears. As companies move from startup toward scale-up, specialized needs emerge in the functions where inputs have become clear, while other parts of the business stay fuzzy and continue to need range. Most maturing companies carry both shapes of work at once.
References
- Epstein, David. Range: Why Generalists Triumph in a Specialized World. Riverhead Books, 2019.
- oAT. "What's the difference between a sales..." how We Do. https://ofalltrades.substack.com/p/whats-the-difference-between-a-sales
- oAT. "Should your next hire be a specialist?" how We Do. https://ofalltrades.substack.com/p/should-your-next-hire-be-a-specialist
- Eisenmann, Tom. "Why Start-ups Fail." Harvard Business Review, May to June 2021. https://hbr.org/2021/05/why-start-ups-fail
- oAT. Services. https://weofalltrades.com/services.html