Connect Looker and
SurveyMonkey with AI

Redbird AI connects your survey data to your analytics layer automatically. Stop exporting CSV files, manually joining response data to customer records, or rebuilding dashboards every time you launch a new survey. Let AI sync feedback into your governed metrics and operational reports.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Enrich Looker dashboards with SurveyMonkey NPS and CSAT scores by customer segment

Automatically sync survey responses into your data warehouse and map them to customer dimensions in LookML. Redbird joins feedback metrics to account attributes, usage cohorts, and revenue segments so product and success teams see satisfaction scores alongside behavioral data in existing dashboards.

Trigger targeted SurveyMonkey surveys when Looker detects usage anomalies or churn risk

When a Looker scheduled look identifies high-risk accounts or usage drops, Redbird automatically sends personalized SurveyMonkey surveys to those customers. Capture feedback at the moment behavior changes, with survey distribution rules driven by your centralized LookML metrics.

Build real-time product feedback loops by pushing survey results into Looker explores

As SurveyMonkey responses come in from product research studies, Redbird writes structured answers into your warehouse and refreshes Looker explores. Product teams analyze open-ended feedback alongside feature usage, experiment results, and adoption metrics in a single self-serve interface.

Alert account teams in Looker when SurveyMonkey detects low satisfaction scores

Redbird monitors incoming survey responses for detractor scores or negative sentiment, then writes alerts into Looker that appear in CSM dashboards. Account health reports show real-time feedback flags alongside renewal dates, support tickets, and product engagement metrics.

Automate employee pulse survey distribution based on Looker HR and engagement metrics

When Looker identifies teams with declining productivity indicators, high attrition risk, or low engagement scores, Redbird triggers SurveyMonkey pulse surveys to those specific groups. Survey timing and targeting are governed by your centralized people analytics definitions in LookML.

Archive survey metadata and response distributions into Looker for longitudinal analysis

Redbird captures complete survey schemas, question branching logic, and response distributions from SurveyMonkey campaigns over time. Historical survey data flows into your warehouse where Looker tracks how satisfaction trends correlate with product changes, pricing updates, and market conditions across quarters.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Looker and SurveyMonkey with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands both LookML's semantic layer and SurveyMonkey's survey schemas, so you can automate feedback analysis without custom ETL pipelines or manual data mapping.

AI that reads LookML models and survey question structures

Redbird parses your Looker views, dimensions, and measures to understand how customer and employee entities are defined in your semantic layer. It also reads SurveyMonkey question types, branching logic, and collector metadata to intelligently map responses to the right warehouse tables. When you connect new surveys or update LookML definitions, Redbird adapts the integration automatically—no schema mapping spreadsheets or transformation code required. Your feedback data arrives in Looker already joined to the dimensions your teams actually use.

Parses LookML views and dimensions
Maps survey questions to warehouse schemas
Joins responses to customer attributes
Handles branching and skip logic
10×

faster than building custom ETL from SurveyMonkey to your warehouse and defining Looker views

No Python scripts, dbt models, or manual dimension mapping

Auto-generated reports

Redbird can pull from Looker and SurveyMonkey simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Looker or SurveyMonkey.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Looker into SurveyMonkey, or from SurveyMonkey back into Looker. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any metric change in Looker or survey event in SurveyMonkey—Redbird handles the rest.

Looker
Triggers & Actions
Trigger

Scheduled look completes

Fires when a Looker scheduled report finishes running and delivers results.

Trigger

Alert threshold exceeded

Triggers when a Looker alert detects a metric crossing a configured threshold.

Trigger

Dashboard metric changes

Detects when a specific KPI or dimension value in a Looker dashboard updates.

Action

Run explore query

Execute a Looker explore query and retrieve result sets for downstream processing.

Action

Update user attribute

Modify user attributes in Looker to control access or personalize dashboard views.

Action

Create scheduled delivery

Set up a new scheduled look or dashboard delivery with specific recipients and cadence.

SurveyMonkey
Triggers & Actions
Trigger

Survey response received

Fires when a respondent submits a complete or partial survey response.

Trigger

NPS score submitted

Triggers specifically when an NPS question is answered, with score and category parsed.

Trigger

Survey collector closed

Detects when a survey collector stops accepting new responses at its end date.

Action

Send survey invitation

Dispatch a survey to a specific email address or contact list with custom variables.

Action

Create new survey

Programmatically build a survey from a template or question set with dynamic content.

Action

Add contact to collector

Insert a new recipient into a survey collector with personalized parameters or metadata.

Looker
+
SurveyMonkey

Ready to connect your stack?

Stop manually bridging the gap between customer feedback and your analytics layer. Redbird connects Looker and SurveyMonkey so your teams can analyze satisfaction data alongside every other business metric—automatically.

Get started → Book a demo