Does Strkr replace SurveyMonkey and the HubSpot integration together?
Yes. Strkr Surveys runs NPS, CSAT, CES, and custom forms natively on the shared record store with the response landing on the contact, account, or deal in real time. The SurveyMonkey plus HubSpot plus middleware stack collapses into one surface with one audit log and one permission model. Response data no longer waits for a middleware polling cycle because the survey engine and the CRM share one database. Workflow triggers fire the moment a response lands (detractor score DMs the CSM, promoter score adds to a case study pipeline, specific keyword in verbatim escalates to the CS lead), so the response-to-action gap collapses to seconds rather than minutes to hours.
What survey types ship native?
The native survey library covers NPS (transactional firing after specific events like onboarding complete or ticket resolved, and relational on quarterly or annual cadence to the active base), CSAT (moment satisfaction after support interactions with one-tap rating), CES (customer effort score after onboarding or feature-adoption moments to measure friction), lead capture forms (public web forms with source attribution and UTM capture), event registration forms (gated or ungated with pre-event drip trigger), customer feedback (open text and structured), product research (branching logic with path-dependent questions), win-loss surveys (triggered on closed-lost with theme tagging on the loss reason), and in-app widget surveys (tied to feature use for product teams). Each survey type delivers via email, SMS, in-app widget, or embed on a web page with per-contact consent respected.
What survey workflows do teams migrate first?
The nine most-migrated workflows are post-onboarding CES (7-day CES to measure setup friction with below-threshold DM to CSM), relational NPS (quarterly or annual to the active base with detractor-to-CSM and promoter-to-case-study routing), transactional NPS (after specific events so the trend reads clean), support ticket CSAT (one-tap rating with low-rating DM to support manager), churn save ask (cancellation triggers specific why with theme tagging), lead capture form (web form with lead landing and immediate SDR flow entry), event registration (gated webinar signup with pre-event drip trigger), product feedback (in-app widget tied to feature use with product-analytics-stream attachment), and win-loss survey (closed-lost triggers reason capture with theme tagging and sales-ops review integration).
How does the SurveyMonkey migration preserve history?
The SurveyMonkey response history exports via native API or CSV with respondent email, timestamp, individual answer values, and open text verbatims preserved. Strkr imports the full set and matches the respondent to the HubSpot contact by email so the full response history consolidates on the Strkr contact record. The imported history feeds the trend reporting so the leadership team sees the full NPS, CSAT, and CES history from day one rather than resetting. The existing survey templates recreate on the Strkr engine with Strkr AI drafting the first version from the SurveyMonkey export so the rebuild takes minutes per survey rather than hours. Parallel-run mode keeps both systems live for a week before the final cutover so the team can validate parity before retiring SurveyMonkey at the next billing cycle.
How does Strkr AI help with the open text responses?
Strkr AI tags open text verbatims with themes (pricing, product gap, onboarding friction, support quality, competitor comparison, feature request, bug report) so trends surface rather than hiding in raw text. The CS leader reads the dominant themes rather than reading every verbatim manually. For specific keywords or patterns (competitor mention, cancellation signal, legal risk), the engine fires an immediate workflow (DM the CSM, escalate to the CS lead, create a product-feedback ticket). For long verbatims (open-ended research responses, win-loss debrief), Strkr AI drafts a short summary attached to the response so the reader gets the key takeaways in one glance. Theme tagging has no credit meter so the volume scales with the survey volume without a per-token cost.
What reporting ties the survey signal to the revenue motion?
The reporting surface includes NPS trend (score over trailing quarters with segmentation by account tier, product line, cohort, geography), NPS-to-retention correlation (detractor retention versus promoter retention with the dollar gap quantified), CSAT by handler (support team satisfaction with per-rep breakdown for coaching), CES by onboarding stage (which steps generate the most friction), verbatim theme analysis via Strkr AI tagging, lead capture conversion (form submissions to pipeline to closed-won by form), response rate per survey and audience and delivery channel, win-loss insight (loss-reason distribution tied to specific deal records with dollar amount at stake), and scheduled snapshots delivered weekly to the CS leader, support manager, or CRO with week-over-week delta. The CS leader walks into the next review with the correlation between NPS trajectory and retention, expansion, and churn rather than parallel dashboards.