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The June 30, 2026 Delighted shutdown deadline has passed. Dashboards should be dark, active surveys should no longer collect responses, and Delighted has said historical feedback data is permanently deleted after the cutoff. If you can still reach any account screen, report export, or cached administrative access, export immediately; if access is gone, assume recovery is unlikely and move into replacement mode.
This is painful because Delighted was deliberately simple: a fast way for mid-market teams to run NPS and customer-experience surveys without buying an enterprise XM platform. Qualtrics acquired Delighted in 2018, then shifted its strategy toward AI-powered XM Suites for large enterprises. That is a rational product decision, but the official Qualtrics migration path solves the wrong problem for many former Delighted customers.
The common response is to accept the official migration and recreate the old program in Qualtrics. That swaps a lost survey tool for a larger operational burden: more configuration, more governance, more seats, and often more budget than a lean CX team needs.
Delighted users did not choose it because they lacked enterprise-grade options. They chose it because a customer-success manager could launch an NPS survey in an afternoon, see detractor comments, and act. An XM Suite can be right for a global organization coordinating dozens of programs, but it is usually excessive for a 30-person SaaS company running NPS, CSAT, and post-support surveys.
Do not make the second mistake: rushing to rebuild the exact same survey workflow before deciding what the old program actually taught you. The most valuable asset was rarely the NPS score. It was the recurring explanation beneath it: “implementation took too long,” “support fixed the issue but I should not have had to ask,” or “pricing stopped making sense after we added seats.”
If you missed the deadline, contact Delighted or Qualtrics support to confirm the actual status of any residual access, exports, invoices, or account archives. Be direct: permanently deleted feedback is unlikely to be recoverable, so do not delay a new program while waiting for raw responses that may no longer exist.
Reconstruct historical context from CRM notes, customer-success health reports, board decks, Slack alerts, emailed survey digests, support tickets, and any CSV files teammates saved. Those fragments will not recreate respondent-level data, but they can preserve the issues that shaped past retention and product decisions.
For teams that need a basic NPS widget or email survey this week, lightweight tools such as SimpleNPS can be enough. Nicereply is also worth a quick look for support-led CSAT and CES workflows. These are sensible choices when speed matters more than program sophistication, but neither should be selected simply because it looks most like the old Delighted interface.
Best for: Mid-market teams that need NPS, CSAT, CES, multi-channel surveys, and more operational flexibility than Delighted offered.
Pricing: Generally low-to-mid range SaaS pricing, with plan-based tiers and higher costs for broader channels, integrations, and scale.
What it does better than Delighted: Zonka supports richer workflows across web, email, SMS, kiosks, and in-product touchpoints. It also gives teams more flexibility to trigger surveys from events and route feedback into follow-up processes.
What it does not do: More options mean more setup decisions. Its open-text reporting is useful, but it will not replace disciplined qualitative analysis of a large verbatim backlog.
Verdict: The strongest all-round Delighted alternative for a team that wants to stay practical while expanding its feedback program.
Best for: Teams that care about a more conversational survey experience and want to run several survey types from one platform.
Pricing: Usually low-to-mid range for smaller teams, increasing with response volume, advanced features, and larger deployments.
What it does better than Delighted: SurveySparrow offers more design control, recurring surveys, omnichannel distribution, and broader survey formats. Its interface can produce a more branded experience than a standard NPS request.
What it does not do: It can become a general survey platform rather than a focused VoC system. Teams need to protect response quality rather than adding questions because the builder makes it easy.
Verdict: Choose it when survey experience and program breadth matter as much as a quick NPS launch.
Best for: B2B account teams that want low-friction feedback embedded in emails and relationship touchpoints.
Pricing: Typically positioned in a mid-range, business-oriented tier with pricing dependent on users, volume, and account requirements.
What it does better than Delighted: Customer Thermometer is designed around fast, embedded feedback collection and account-level follow-up. It works particularly well when customer-success or support teams already communicate heavily by email.
What it does not do: It is less suited to teams seeking elaborate in-product research flows or a broad survey-design environment. Comment analysis still requires a process beyond simply reading alerts.
Verdict: A focused choice for relationship-led B2B organizations where feedback must reach the account owner quickly.
Best for: Service organizations that need NPS connected to frontline coaching, customer-success operations, and closed-loop action.
Pricing: Generally higher and more sales-led than lightweight survey tools, often making most sense for established teams.
What it does better than Delighted: AskNicely places more emphasis on operationalizing feedback, assigning follow-up, and helping frontline teams act on customer signals. It is stronger where the next action matters as much as measurement.
What it does not do: It may be more platform than a small product team needs. Budget-sensitive teams can find its operational depth hard to justify.
Verdict: Best when your NPS program is owned by a customer-facing organization with clear follow-up accountability.
Best for: Support teams measuring CSAT, CES, and agent-level experience without building a full CX research operation.
Pricing: Commonly a lower-to-mid range option, with costs scaling by agents, responses, and integrations.
What it does better than Delighted: Nicereply is tightly oriented toward support feedback and can fit naturally into help-desk workflows. It makes agent and ticket-level feedback easier to monitor than a general NPS tool.
What it does not do: It is not the best primary platform for a strategic, company-wide NPS program. Product teams will need additional research methods to understand churn and adoption problems.
Verdict: Pick it for support-quality measurement, not as a catch-all replacement for every Delighted use case.
The migration bottleneck is not copying an NPS question into a new platform. It is the exported CSV full of open-ended comments that nobody has time to read line by line. A spreadsheet of verbatims is not an insight repository; it is a backlog waiting to be ignored.
I saw this with a 14-person B2B logistics software team running quarterly NPS across roughly 1,800 customer contacts. They had 640 written comments, a two-person CX function, and a renewal-planning meeting in nine days. We found that “slow support” was not one theme at all: customers were describing implementation handoffs, weekend coverage, and missing shipment-status explanations as three distinct failures. That distinction changed the renewal plan.
Usercall is not an NPS-survey distribution replacement. Use Zonka, SurveySparrow, Customer Thermometer, or another survey platform to collect the score and responses; use Usercall to automatically analyze the exported comment backlog into editable, evidence-traceable themes, with the supporting responses and quotes available for review.
Once the replacement survey is live, the same problem returns every month: comments accumulate faster than a researcher can code them. Usercall provides AI-moderated interviews with deep researcher controls and research-grade qualitative analysis at scale, so a team can move beyond “12 detractors mentioned onboarding” to the reasons, contexts, and customer language behind that pattern.
I ran a study for a 22-person product team selling workforce scheduling software where the complication was volume: about 300 NPS comments per month, plus support feedback split across three systems. The team had been tagging comments manually with six broad labels. When we separated the evidence, “usability” became permissions confusion, mobile time-entry friction, and manager approval delays; the product team shipped a permissions fix first and saw that complaint disappear from the next feedback cycle.
Usercall can also intercept users at key product analytic moments: after a failed activation, repeated feature abandonment, or a sudden drop in conversion. That is how you surface the “why” behind a metric rather than treating NPS as the entire voice-of-customer program.
Teams that exported their data and need a fast, simple replacement should start with Zonka Feedback or SurveySparrow, then rebuild only the survey triggers that drove action. Teams still trying to recover access should contact support, collect every secondary record available, and launch a minimal replacement immediately rather than waiting for a miracle export.
Teams that want this shutdown to be the last time years of learning lives inside one vendor dashboard should separate collection from insight. Pick the NPS platform that fits your distribution workflow, retain exports under your own governance, and add Usercall as the qualitative-analysis layer that continuously turns incoming comments into quote-backed themes.
Related: Best SurveyMonkey Alternatives in 2026 · Best Typeform Alternatives in 2026 · GetFeedback alternatives after its shutdown · Customer satisfaction survey questions that reveal what is broken
Usercall runs AI-moderated user interviews that collect qualitative insights at scale, with the depth of a real conversation and without the overhead of a research agency. Use it to make your post-Delighted VoC program explain customer behavior, not merely count it.
