The longevity paradox: sprint weekly, endure for a decade
Early work runs on weekly sprints, yet public survival data runs on decades. What federal survival curves say about pacing a company for the long haul.
Startup culture sells speed. Ship this week, test by Friday, learn by Monday. That pace is real and useful, because early work is mostly a series of small bets that are cheap to check. The public data on how long businesses last tells a second story that runs on a different clock. Most of the outcomes founders care about, such as a steady customer base, a team that stays and a company that pays its own way, arrive over years, not sprints. This article sets the two clocks side by side. It is about pacing, and it does not predict how long any company will last.
Two clocks, one company
The short clock is the one in your calendar: a weekly rhythm of build, ship, talk to customers and adjust. The weekly operating rhythm describes how a founder can keep it steady. The long clock is the one the company is measured on by customers, employees and, eventually, the market: does it still exist in year three, year five, year ten?
The paradox is that the two clocks reward different habits. Sprints reward intensity and a willingness to throw work away. Endurance rewards the opposite: sustainable hours, cash that lasts, relationships that compound and a refusal to burn out the one or two people the company cannot replace. A founder who only runs the short clock tends to finish a quarter exhausted. A founder who only runs the long clock tends to ship nothing. The working answer is to sprint inside a pace you could keep for a decade.
What the survival data shows
The U.S. Bureau of Labor Statistics follows every private-sector business establishment that opens in a given year and reports how many are still operating each year afterward. The figure below shows the 2015 opening group, for all private industries and for the information sector, which includes software publishers and data processing.
Show the figures as a table
| Years since opening | All private industries | Information sector |
|---|---|---|
| 1 | 79.6% | 80.8% |
| 2 | 69.1% | 70% |
| 3 | 61.4% | 60.8% |
| 4 | 55.4% | 53.3% |
| 5 | 50.2% | 46.8% |
| 6 | 46.4% | 42.6% |
| 7 | 43.6% | 38.6% |
| 8 | 40.3% | 35.4% |
| 9 | 37.4% | 33% |
| 10 | 34.7% | 30% |
Establishments, not companies: one company with two locations counts twice.
Source: U.S. Bureau of Labor Statistics, Business Employment Dynamics, Table 7 , establishments opened in 2015, followed to 2025
| Years since opening | All private industries | Information sector |
|---|---|---|
| 1 | 79.6% | 80.8% |
| 2 | 69.1% | 70.0% |
| 5 | 50.2% | 46.8% |
| 10 | 34.7% | 30.0% |
Two things stand out. The first is how gradual the decline is. About one in five establishments is gone after a year, but the curve keeps falling for the whole decade, losing roughly three points a year in the later years. The BLS summarized the 2013 group the same way: in March 2023, 34.7 percent of the establishments born in March 2013 were still in operation. A company is not safe because it passed its first birthday.
The second is that the information sector, the closest category to software, tracks the all-industry curve rather than beating it. By year ten, 30.0 percent of the 2015 information establishments remained. Nothing in the table suggests that software companies are exempt from the long clock.
What the data does not say
The BLS counts establishments, meaning a single physical location, not companies. It also counts a business that closes for any reason, including a planned wind-down, a sale that ends the location or a founder who simply chooses to stop. It does not say why a business ended, and it does not separate venture-backed companies from a one-person consultancy. The curve is a background rate for starting any business, not a forecast for a particular software company, and it is not a target.
Survivors keep growing
The same BLS program reports what the survivors look like. For the 2017 opening group, establishments that survived the first year employed an average of 5.4 people. After three years the survivors averaged 7.0, and after five years 8.2. The 1994 group is a reminder that the pattern is not new: survivors there averaged 9.1, then 11.4, then 13.2 employees at the same three points.
The reading is modest. Among the businesses that last, headcount tends to rise year after year, and the rise is slow. A company that treats year one as a verdict on the whole venture may be reading the wrong clock.
There is a practical consequence for how a founder spends attention. In the first months, the questions are about whether anyone wants the product, and they deserve fast cycles. After the first customers arrive, the questions change to whether the company can serve them well for years: support that does not depend on one person’s evenings, books that someone else could read, and a product that can be changed without a rewrite. Those are slower jobs, and they are easy to postpone because no sprint demands them. The survival curve is a reminder that they are the work of years three to ten.
Pacing a sprint inside a decade
Nothing here argues for working slowly. It argues for choosing which things run on which clock, and for protecting the long clock from the short one.
- Count the cost of a sprint in months of runway, not only in hours. The runway arithmetic shows how a single hire or a single lost customer moves months of cash. Long clocks are funded by cash that lasts.
- Put recovery in the plan. The article on burnout describes the signs. A founder who is out of action for a month costs the company more than one who takes a week off.
- Keep one measure that only moves slowly. Retention, repeat purchases, referrals or the number of customers who have stayed for a year all change on the long clock. Review them quarterly, not weekly, so a bad week does not read as a bad year. The metrics calculator and the metrics definitions give common definitions.
- Write decisions down. A decision record outlasts the memory of why it was made, which matters when the company is several years old and the people have changed.
- Look for company. Founders who last tend to have someone to ask. The public support network of advisers and programs is part of that, and the way WE works is built around long engagements instead of short bursts.
A weekly sprint with a decade attached
One way to hold both clocks is to give every week two lines. The first line is the sprint goal: what will be built, sold or learned by Friday. The second line is the long-clock question: does this week’s work make the company more likely to be here in five years, and does the pace behind it leave the founder able to do it again next week? When the two lines conflict, the conflict is information. It usually means the sprint goal is too large, the team is too small, or the cash is too thin.
Questions to ask yourself and your advisers
- Which of my current goals pay off inside a quarter, and which only pay off after a year?
- If my income from the company stayed where it is now for two more years, what would I change?
- Who is on my team, formal or informal, if I am ill for a month?
- What does my accountant say my cash position allows over three years, not three months?
- Which public support, such as a business counseling center, could carry some of the load?
None of this has to be carried alone. The ecosystem directory lists independent incubators, coworking spaces, founder communities, angel groups and SBA resource partners worth joining for the years a company needs, and WE works alongside them for the long run with no affiliation implied. The survival series behind the chart above is laid out in full, by opening year and industry, on the survival data page.
What this article cannot tell you
This article cannot tell you how long your company will last, how much of the decline in the tables applies to a software company with a paying customer base, or what pace is right for you. The survival figures describe establishments in every kind of business, and the establishment counts include closures of many kinds. The survivor headcounts describe only the businesses that lasted, so they say nothing about the ones that did not. Nothing here is a promise about funding, outcomes or timing, and nothing in it describes the results of any company that works with WE.
Sources
- Survival of private sector establishments by opening year, U.S. Bureau of Labor Statistics, Business Employment Dynamics . Accessed October 15, 2026.
- Survival of information sector establishments by opening year, U.S. Bureau of Labor Statistics, Business Employment Dynamics . Accessed October 15, 2026.
- 34.7 percent of business establishments born in 2013 were still operating in 2023, U.S. Bureau of Labor Statistics, The Economics Daily . Accessed October 15, 2026.
- The decline of job creation at new establishments, U.S. Bureau of Labor Statistics, Beyond the Numbers . Accessed October 15, 2026.
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