PMFtracker vs Sprig
Sprig runs excellent in-product research: micro-surveys, session replay linked to answers, concept testing, all with AI reading the open text. PMFtracker does one job and does it deeply: measure and track your product-market fit score. Here's how to tell which one you actually need.
Start your free trial → 14-day free trial · No credit cardFirst, credit where it's due
Sprig is a genuinely strong in-product research platform. It runs micro-surveys inside your app, links responses to session replay so you can watch what a user did right before they answered, tests concepts and features before you ship them, and uses AI to summarize themes across hundreds of open-ended answers. If you want a broad toolkit for in-app UX research, it's a serious option.
But "run in-app research broadly" and "measure product-market fit" are different jobs. Sprig is built for the first, including a PMF survey template among many others. PMFtracker is built for the second, and only the second, and that difference is the whole point of this page.
Feature comparison
| Capability | Sprig | PMFtracker |
|---|---|---|
| Run the Sean Ellis survey | ✓ (template) | ✓ (pre-loaded) |
| In-product survey widget | ✓ | ✓ |
| Session replay linked to answers | ✓ | - |
| Concept / feature testing | ✓ | - |
| AI themes from open-ended answers | ✓ | ✓ (on PMF responses) |
| PMF score calculated automatically (40% rule) | - (manual) | ✓ |
| Score tracked over time (trend) | - | ✓ |
| ICP / "very disappointed" segmentation | - | ✓ |
| Investor-ready PMF reports | - | ✓ |
| Pricing | Custom / usage-based subscription | $79 / $149 one-time (was $99 / $199) |
Comparison reflects PMFtracker's feature set and Sprig as a general in-product research and survey platform.
The real difference: a research suite vs a PMF system
Sprig gives you a wide toolkit for understanding how people use your product, replay, concept tests, and yes, a PMF survey template you can run. What it doesn't do is turn that survey into a product-market fit metric you actively manage. You still tally the "very disappointed" percentage yourself, decide who counts as your ICP, and rebuild the trend chart every time you re-run it. That manual step is exactly where PMF tracking quietly stops after the first survey.
PMFtracker takes the same Sean Ellis question and does the measuring for you: the score on the 40% rule, the engaged-user filter that keeps it honest, the ICP pulled straight from your most disappointed users, AI sentiment on the open-ends, and a trend line that becomes fundraising evidence. It's narrower than Sprig on purpose, because PMF deserves a dedicated instrument, not one template among many.
When Sprig is the better choice
Sprig is a serious platform, and for some teams it's the right call. Choose it when:
- You need to test concepts, prototypes, or new features with users before you build them.
- You want survey answers linked directly to session replay, so you can see the behavior behind the response.
- In-app research is a broad, ongoing program for your team, not just a single tracked metric.
- You have budget for an ongoing research-platform subscription and a team to run it.
PMFtracker isn't trying to replace any of that. It does one job, measure and track the Sean Ellis PMF score, and does it without a subscription. Plenty of teams run both.
Switching from Sprig to PMFtracker
If PMF is the specific metric you want to actively manage, moving it over is quick:
- Export your Sprig PMF survey responses to CSV.
- Import them into PMFtracker, it reads the Sean Ellis answers and scores them automatically.
- Run the survey in-product going forward, so your score and ICP stay current without managing another campaign.
Keep Sprig for concept testing and replay-linked research if you like it; let PMFtracker own the PMF number. See the exact survey questions it scores.
Measure PMF, don't just research it
Run the Sean Ellis survey and get your score calculated, your ICP segmented, and the trend tracked, purpose-built for product-market fit. Pay once, measure forever.
Start free → 14-day free trial · No credit card · The Sean Ellis template is pre-loadedFrequently asked questions
What is Sprig?
An in-product research platform for collecting user feedback through in-app micro-surveys, session replay linked to survey answers, AI-generated themes from open text, and concept or feature testing.
How is PMFtracker different from Sprig?
Sprig collects in-app feedback and can run a PMF-style survey, but you still calculate and track the score yourself. PMFtracker calculates your Sean Ellis score automatically on the 40% rule, tracks the trend, segments your ICP, and exports investor-ready reports.
Can I use both?
Yes. Many teams use Sprig for broader in-app research, concept testing, and replay-linked feedback, and PMFtracker specifically to measure and track product-market fit. They solve adjacent problems.
Which should I choose for product-market fit?
If your goal is specifically to measure, improve, and prove PMF over time, PMFtracker is purpose-built for it. If you need a broader in-product research suite for concept testing and UX feedback, Sprig fits that wider need.
Can I use PMFtracker alongside Sprig?
Many teams do. Sprig handles in-app research, replay, and concept testing; PMFtracker owns the product-market fit metric. You can also export Sprig's PMF survey responses to CSV and import them into PMFtracker to score and track them.
