Research Report
MVPSuccessRateAnalysis2026

Why 71% of MVPs stall — and the traits that define the 29% that reach product-market signal.

64 pages312 MVPs tracked over 12 months post-launchPublished March 4, 2026

Methodology

We evaluated 312 MVP launches from 2021–2025 against a 12-month outcome marker (still shipping, acquired, or shut down). Each MVP was re-classified against a 40-variable rubric covering scope, team, pricing, measurement, and founder cadence. The top and bottom quartiles were interviewed to pressure-test correlations and extract playbooks. All dollar figures are normalized to 2026 USD.

Key findings

The numbers we keep coming back to

The signals that shaped the rest of the analysis — each one backed by the full methodology in the download.

29%

Of MVPs reach v2

The remainder either shut down, pivoted beyond recognition, or sat in maintenance mode with no meaningful release in 12 months.

3.4x

More likely to survive with weekly shipping cadence

MVP teams that shipped something visible weekly were 3.4x more likely to still be operating at month 12.

$72,000

Median MVP total spend (successful cohort)

Surprising nobody except cost-cutters: starving an MVP was correlated with death, not efficiency.

62%

Of failed MVPs over-scoped pre-launch

Shipped with 40+ features when the retained feature set post-launch averaged 12.

11 weeks

Median launch-to-first-revenue

For MVPs with a paid pricing model at launch, regardless of industry.

Inside the report

7 chapters of research

A scannable chapter guide. Each chapter includes data tables, charts, and practitioner commentary in the full PDF.

01

The 29% survival baseline

What 'success' actually means at 12 months and why binary failure framing hides most of the story.

02

Scope discipline and the feature-count trap

A direct inverse correlation between launch feature count and 12-month survival.

03

Team archetypes that ship vs stall

Founder-led, fractional-CTO, agency-built, and in-house squads compared on outcome and cost.

04

Measurement maturity at launch

Whether the team had a single north-star metric at week one predicted survival better than funding stage.

05

Pricing at launch and willingness-to-pay signal

Free MVPs had a much harder path to v2 than priced MVPs — even when pricing was clearly wrong.

06

Recovery playbooks from the stalled cohort

Eight MVPs that were effectively dead at month 6 and the exact moves that brought them back.

07

Founder operating cadence post-launch

Weekly feedback loops, customer-call volume, and release cadence as the three strongest predictors of survival.

Full report

Download the complete 64-page report

All the data, charts, and appendices — no gate, no drip campaign, no retargeting pixel circus.

Build with Mansoori Technologies

Let's Build Something Intelligent

Whether you're launching a new SaaS, adding AI agents, or modernizing existing systems, we can help you move from idea to production fast.