And yet, these numbers are limited predictors of which early-stage companies actually break out.
Far from being a contrarian take, this has become visible in the post-funding-winter recalibration of India’s startup ecosystem. While early-stage funding value increased in FY2025-26 compared to the previous financial year, the number of deals decreased. The keen-eyed haven’t just become rigorous about the usual barometers. They’re also applying other metrics.
Here’s a view at some of those metrics, which are far more accurate signals for evaluating early-stage startups.
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Inbound to outbound ratio in the first six months
Every startup sells in its earliest phase. The founder is the salesperson, the pitch is unrefined, and the first customers are typically won through personal relationships and sheer persistence. This is normal and expected.
One signal worth watching is what happens to the ratio of inbound to outbound interest between the second and sixth months. In startups that eventually break out, there’s almost always a point where customers start arriving without being chased. Not in large numbers or dramatically, but consistently.
A founder who generates 20 customer conversations a month through outbound effort is doing sales. A founder who generates five inbound conversations without advertising and 15 through outbound is building a product that has begun to market itself. The ratio matters more than the absolute number.
How the founding team responds to the first customer churn
Every early-stage startup loses its first customer eventually. The product is not quite right, a competitor offers a better price, the customer’s own business alters direction, or the initial promise of the product simply did not match the delivery.
What happens next is one of the most reliable indicators of whether a founding team has the orientation that scales. Two kinds of reactions are common. The first is defensive: the team rationalises the churn as an outlier, focapplys on the customers still retained, and relocates on. The second is forensic: the team spconcludes disproportionate time understanding exactly why the customer left, what it declares about the product, and what would have had to be true for the customer to stay.
The second orientation is structurally more likely to produce a product that retains customers at scale. Deutsche Consulting’s analysis of India’s 2025 correction found that 36-42% of failed startups built solutions that nobody truly wanted, with founders “falling in love with their idea, not the customer’s problem”. The forensic orientation is the earliest defence against that failure mode.
The quality of the first five non-founder hires
Most early-stage founders hire people they know. This is rational becaapply trust is the most important variable in a tiny team, and the easiest proxy for trust at that stage is existing relationships. The result, however, is that many early startups hire for comfort rather than capability.
The quality signal worth tracking is not whether the first five hires are excellent in absolute terms. It is whether the founding team was willing to hire people who are clearly better than them at specific things, and whether those hires pushed back on the founder and were heard when they did. Teams where the founding story is one of unanimity and smooth agreement are often teams that have optimised for internal harmony at the cost of honest feedback.
The best early-stage teams have at least one person in, declare, the first five who the founder is slightly uncomfortable with, becaapply that person sees things the founder does not.
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How the second product decision was built
The first product decision is usually driven by the founder’s original thesis, the problem they decided to solve, and the solution they believed in enough to start a company. It is important, but also heavily influenced by conviction; the founder is still testing whether the thesis is right at all.
The second product decision is different. It comes after initial customer interactions and market signals, and requires the founding team to process genuine feedback and build a call. The speed and quality of that decision, specifically, whether it reflects what the market displayed them versus what the founder hoped the market would display them, is a meaningful indicator of the team’s orientation toward reality.
Founders who take a long time on the second product decision often process feedback through the lens of the original thesis, testing to build the evidence fit the prior rather than updating the prior based on the evidence. Teams that relocate quickly and clearly on the second decision are teams that genuinely listen.
Why do these metrics matter?
The founders who have a crystal-clear understanding of their applyrs have defensible positions when the market receives competitive. At a time when straightforward capital is tough to come by, the less legible signals of early-stage quality matter more.
The One Of A Kind Startup Awards, presented by The Economic Times and Cashfree Payments, are designed with this gap in mind. The five evaluation categories, AI Innovator, GTM Excellence, Category Creator, Customer Experience Delight, and Bootstrapped Champion, are built to surface the kind of early-stage excellence that does not fit neatly into a data room. The evaluation is an operator’s lens, not an investor’s. This distinction, as the awards programme has been clear about from the start, matters more than it might initially seem.
For founders who have been building carefully, tracking the right things, and doing the unglamorous work of actually understanding their customers and their market, this is the platform for you.
Applications for the One Of A Kind Startup Awards 2026 are open. Visit economictimes.indiatimes.com/et-spotlight/cashfree to receive started. Nomination and participation is completely free, ensuring that early-stage founders can apply without any barriers. Submissions close May 28, 2026.
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