Delighted shut down on June 30, 2026. If you are replacing it, first decide whether you need NPS, product-market-fit measurement, or a broader customer-experience platform. This guide compares seven options for those different jobs, including free choices for teams that want to manage the survey and analysis themselves.

Why Founders Need Alternatives for Delighted

Delighted offered something unusual: PMF measurement at a price a founder could justify, without the seat counts and procurement cycles that come with the larger customer-experience platforms.

The shutdown left former Delighted customers with two separate problems: choosing a replacement and deciding what to do with any historical data they exported before access ended. The right replacement depends on what you want to measure next.

Of course, this is also an opportunity to try something new. PMF tools have evolved over time since Delighted was first launched. There are new options out there that might be an even better fit for indie developers.

Why the price question matters here

Most tools in this category were built for customer-experience teams rather than for one founder trying to answer a single question. That shows up in two ways: the entry plans are sized for ongoing survey programmes, and the features that matter for product-market fit tend to sit on higher tiers.

Prices in this category move, and every vendor packages responses, seats and channels differently. Check the current pricing page before you commit, and check what the plan you are actually considering includes. The figures quoted in this article were checked in July 2026.

Delighted aimed at smaller teams from the start. That is the gap its shutdown left.

The PMF Segmentation Problem

Most founders don’t realize that their PMF score isn't the whole story.

Suppose you run the Sean Ellis 40% survey and get these results:

40% "very disappointed"
30% "somewhat disappointed"
30% "not disappointed"

Your product-market fit score is 40%, and you’re at the right edge. But your 40% score might actually represent two very different things:

Power users of your product who use it every day: 65% “very disappointed”
Casual users of your product who signed up once but don’t really use your product: 15% “very disappointed”

Those numbers are illustrative. The point is that one number can hide two different products.

That is where segmentation comes in, and there are tools that can help you with it.

What to Look for in a PMF Survey Tool

Not all PMF tools are created equal. Here’s what really matters:

1. Segmentation Support

The one thing you need to look out for: does it show PMF per user group, or just the overall average?

The overall average is misleading. What you really need is:

PMF per user group (power users vs. casual users)
PMF per acquisition group (organic vs. paid vs. referral)
PMF per cohort (users who joined this month vs. last month)

2. Trend Tracking

Can you track your PMF score over time? This is important because PMF is not a one-time achievement, but rather a trend.

3. Survey Frequency Controls

Can the tool send surveys for you, and can you control who becomes eligible and when? Automating delivery matters more than picking a fixed calendar. What cadence suits you depends on how often people actually use your product.

4. Response Volume Limits

Check the response ceiling against the number of users you could realistically survey, and check whether responses or sends are what gets counted, because vendors differ. If you want to compare segments rather than read one overall number, each segment needs enough responses to be worth reading on its own.

5. Data Export

Can you download raw responses in a useful format? If a vendor closes, as Delighted did, a complete export gives you a better chance of preserving your history and rebuilding the measurement elsewhere.

The Best Delighted Alternatives

Tool	Entry price (checked July 2026)	Dedicated PMF workflow	Segment-level PMF view	Best for
FitSignal	Free, then $29/mo billed monthly	Yes, the whole product	Yes, by persona	Founders and small teams whose main question is product-market fit
SatisMeter	Free, then $199/mo for 1,000 responses	PMF is one of four survey templates	Not documented	Teams running NPS across web, email and mobile who also want a PMF read
Survicate	Free, then Growth from $56/mo billed annually	PMF template with branching logic	Not documented	Teams running a broad customer-experience programme
Typeform + template	Free, then paid tiers	No, you build it	No, you build it	Founders who want control and do not mind manual work
Google Forms + spreadsheet	Free	No, you build it	No, you build it	Idea-stage validation on no budget
Refiner	Check refiner.io	In-app surveys, not PMF-specific	Not verified	Teams wanting in-app surveys alongside product analytics
Userpilot	Check userpilot.com	Surveys inside a product-adoption platform	Not verified	Product teams buying onboarding and analytics together

FitSignal: The PMF-Focused Option

FitSignal was built to answer one question: would your users be disappointed to lose your product, and what should you do about the answer.

What it does:

The seven canonical PMF questions, with only the first one scored
The score against the 40% line, with trend, response distribution and a stated confidence level
Persona and segment breakdowns, because an averaged score hides where fit is real
Two linked word clouds: what your core values, and the blockers tied to each of those benefits
AI improvement analysis that clusters free-text answers into ranked themes, each linked to the quotes behind it
Licensed NPS surveys on the same engine, personas and channels
Collection by in-app widget, JavaScript SDK, share link or branded email

What it does not do:

CSAT or CES surveys
A native mobile SDK, or SMS delivery
A large integration library. There is a REST API, signed webhooks, a hosted MCP server, Slack notifications and CSV, JSON and Excel export, but no Segment or Zapier connector
General-purpose survey building for arbitrary research questions

Price (checked July 2026):

Free: $0. One project, 250 collected responses a month through the widget or a share link, no card
Indie: $29/month billed monthly, or $24/month billed annually. 5 projects, 3,000 email sends a month
Growth: $49/month billed monthly, or $41/month billed annually. 10 projects, 10,000 email sends a month, AI improvement analysis, REST API, webhooks and Slack
Scale: $99/month billed monthly, or $83/month billed annually. Unlimited projects, 30,000 email sends a month, no FitSignal branding
Enterprise: custom, for higher send volumes, SSO or a DPA review

Email invitations draw on the send quota. Responses collected through the widget or a share link do not, on any plan including Free.

When it makes sense: If you are looking for dedicated product-market fit measurement without additional enterprise features, are tired of manually exporting data, and want to see your PMF score by user type rather than an overall score, then FitSignal is the way to go.

It is the closest alternative to Delighted if your primary requirement is to run PMF surveys.

FitSignal is best for:

Indie developers, solo founders, and early-stage SaaS teams measuring product-market fit
Bootstrapped teams that cannot justify a customer-experience platform priced for ongoing survey programmes
Founders who need segment-level analysis for PMF (power users vs. casual users, paid users vs. free users)
Founders who want product-market fit measured properly rather than inferred from a satisfaction score

FitSignal is not the best when:

You need CSAT or CES surveys, which FitSignal does not offer
You expect native CRM connectors such as Salesforce or HubSpot
You need CSAT at scale, not necessarily a PMF tool
Your team has 50+ employees who need advanced features for user permissions, SSO, and white-labeling

Honest tradeoffs:

It is deliberately narrow. It measures product-market fit and NPS, and does not try to be a general survey platform.
It launched in early 2026, so it has a much shorter operating history and a smaller integration library than the established platforms here.
The free plan collects through the widget and share links only. Emailing your customer list starts on Indie at $29/month billed monthly.
FitSignal branding stays on surveys until the Scale plan.

SatisMeter: The Integration-First Option

SatisMeter is a multi-channel customer-experience platform that has been running since 2015. PMF is one of its four survey templates, alongside NPS, CSAT and CES.

What it does:

A named PMF survey template, not something you have to assemble yourself
NPS, CSAT and CES surveys
Delivery across web, in-app, email, iOS and Android, on every plan
Unlimited projects, team members and surveys on every plan
Targeting by user attribute, event triggering, and automated recurring surveys
Named integrations including Productboard, Intercom, Slack, Segment, Salesforce and Zapier, plus a REST API and webhooks

What is not documented:

Any AI or sentiment analysis of open-text answers. A search of all 70 articles in its help center in July 2026 returned nothing for AI, artificial intelligence or sentiment
A segment-level PMF score view. Dashboard filtering is documented for text traits, but nothing describes a PMF percentage per segment
Survey delay or custom follow-up questions in the mobile SDKs, which its own documentation states are unsupported there

Price (checked July 2026): Free at $0 for 25 responses a month with all features unlocked, Growth at $199/month for 1,000 responses, and Enterprise on request. Pricing counts responses received rather than surveys sent, and surveys pause at the limit instead of incurring overage charges.

When it makes sense:

You’re already using SatisMeter for NPS
You want to add PMF to your analytics arsenal.
You need the integration with Stripe and Intercom to automate surveys.

The trade-off is that it’s a broader tool rather than a dedicated PMF tool. If you only want to measure PMF, it’s probably overkill.

The Budget Option

If your budget is tight and you don’t mind a bit of work, you can run the Sean Ellis survey using Typeform or Google Forms for free or at a low cost.

What you need to do yourself:

Create the survey questions (I'll give you the exact ones below)
Export the data to a spreadsheet.
Do your own calculations.
Create your own tracking system.
Create your own reminders to send the survey at regular intervals.

Price: Free (Google Forms) or $0-25/month (Typeform paid plan for more responses)

When it makes sense:

You’re just starting out, and your budget is tight.
You have time but not money.
You want to control your data and do it yourself.
You’ve already built your own system for tracking other metrics.

Running the survey yourself

If you are building this in a form tool, the scoring question is the one that matters:

"How would you feel if you could no longer use [product]?"

Very disappointed

Somewhat disappointed

Not disappointed

N/A, I no longer use it

Your score is the share of responses that chose "very disappointed." That single question comes from Sean Ellis's original PMF framework.

On its own it gives you a number and nothing to do with it. These follow-ups are what make the number actionable:

"Please help us understand why you selected this answer?" "What would you use if [product] were no longer available?" "What is the main benefit you receive from using [product]?" "What type of person do you think would benefit most from [product]?" "How can we improve [product] for you?" "What is your job title?"

Read the main-benefit answers from your "very disappointed" users to learn what to protect, and the improvement answers from your "somewhat disappointed" users to learn what to fix. Rahul Vohra's Superhuman write-up is the clearest account of running that loop, and it draws on Julie Supan's high-expectation customer framework for the segmentation step.

On sample size, there is no count that makes a score valid. Ellis says 30 responses makes the survey directionally useful and that he is much more confident at 100 or more. Vohra puts the directional threshold at around 40 respondents. Report the number of responses next to the percentage, and treat a small sample as a hint rather than a verdict. Sixteen "very disappointed" answers out of 40 is a 40% score with a 95% interval running roughly from 26% to 55%, before any selection bias.

Other Notable Alternatives

Refiner

In-app surveys aimed at SaaS teams, priced for teams rather than solo founders. Check refiner.io for current pricing.

Userpilot

A product-adoption platform with survey functionality attached. Surveys are not the main event. Check userpilot.com for current pricing.

Survicate

A broad customer-experience survey platform with a genuine product-market fit template, including pre-configured branching logic, and AI analysis of open-text answers on its higher tiers. Growth starts at $56/month billed annually at 100 responses, and there is a permanent free plan capped at 25 responses a month. Worth a look if you want one tool for NPS, CSAT and product feedback as well as a PMF read. Checked July 2026.

Moving On From Delighted

Delighted ended customer access on June 30, 2026. The old advice to log in and export before the deadline is no longer actionable.

If you already exported your data, keep one untouched copy of every CSV or ZIP file. Work from duplicates, document what each file contains, and preserve original timestamps and identifiers. Historical scores are only useful when you can explain which survey, audience, and period produced them.

If you did not export before access ended, do not rely on old dashboard instructions. The Delighted website now says the product is no longer available and directs visitors to Qualtrics. Contact Qualtrics directly to ask whether any account-specific recovery path remains, but do not assume that historical data can still be retrieved.

When choosing a replacement, separate three needs:

NPS or customer-satisfaction tracking: Choose a tool designed for recurring customer-experience programs.
Product-market-fit measurement: Choose a workflow that calculates the Sean Ellis score and lets you inspect meaningful segments.
General-purpose surveys: Use a flexible survey builder if you are comfortable managing scoring, segmentation, and trend analysis yourself.

Do not force historical Delighted data into a new system merely to preserve a chart. Keep the archive intact, confirm what the replacement can import, and start a clearly dated new baseline when the old and new methods are not directly comparable.

Conclusion: Choose the Right Tool for Your Stage

Here’s a quick reference chart:

If product-market fit is the question you actually need answered: FitSignal, free to start, $29/month billed monthly when you want to email your list.
If you want NPS, CSAT and PMF in one place with mobile delivery and a wide integration library: SatisMeter.
If you are running a broader customer-experience programme: Survicate.
If your budget is zero and you have time: Google Forms and a spreadsheet.
If you want something in between: Typeform with a template.

It comes down to what you are willing to do by hand. A form tool plus a spreadsheet costs nothing and works, as long as you keep doing the scoring, the segmenting and the trend tracking yourself every time.

One reading is a state, not a baseline. Whichever tool you pick, decide up front who is eligible to be surveyed and keep that definition stable, so that when the number moves you can tell whether the product changed or just the audience did.

FitSignal measures product-market fit and NPS for SaaS teams: the score against the 40% line, the segments behind it, and a ranked view of what to fix next.

This guide will be updated over time as new tools appear and prices change.