Do I need a separate data warehouse for my AskNicely data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your AskNicely data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my AskNicely data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your AskNicely data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect AskNicely data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Request a demo →

Explore with AI

← All connectors/Survey & Feedback

§ Connector

AskNicely

Analyze your AskNicely data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your AskNicely data, no complex infrastructure to maintain.

See AskNicely in Definite →Try it free

Want it to watch your AskNicely data and act on its own? Meet the AskNicely agent →

§ Live with

§ What you get

Everything AskNicely exposes, modeled and queryable.

AskNicely is an NPS and customer feedback platform. This connector syncs survey responses, contacts, and aggregated NPS and delivery statistics so you can analyze customer sentiment, response trends, and survey engagement.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

6 objects

◆Survey Responses

Individual NPS survey responses including the numeric score, answer label (promoter/passive/detractor), free-text comments, topic, sentiment, and delivery metadata. Core object for analyzing customer sentiment, comment themes, and feedback by segment or lifecycle stage.

customersupportmarketing

◆Contacts

People surveyed in AskNicely, with profile details, segment, lifecycle stage, source, and CRM cross-reference IDs (Salesforce, Intercom, Dynamics). Used to attribute feedback to accounts and segment NPS by customer attributes.

customersalessupport

◆Unsubscribed Contacts

Contacts who have unsubscribed from surveys, including unsubscribe time, email state, and reason. Used to monitor opt-out rates and maintain deliverability and survey-list hygiene.

customermarketingsupport

◆Sent Statistics

Rolling aggregate of survey delivery and response performance — sent, delivered, opened, responded counts plus current NPS and promoter/passive/detractor breakdown. Used for at-a-glance survey health and response-rate monitoring.

customersupportoperations

◆Historical Stats

Day-level historical metrics covering sends, deliveries, opens, responses, NPS, comment counts, and response-rate percentages. Used to trend NPS and survey engagement over time and detect shifts in customer sentiment.

customersupportoperations

◆NPS Score

Current Net Promoter Score calculated over a rolling window. Used as the headline customer-satisfaction metric in dashboards and reports.

customersupport

§ How it works