For Product Teams

Build what users actually need.
With data to prove it.

Redbird automates product analytics, user research synthesis, and performance reporting — so product teams spend less time doing analysis and more time making decisions.

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The Challenge

Product teams can't move fast when getting data and analyzing it are both full-time jobs.

Product team data challenge

Analyst dependency slows product velocity

Every product question that requires data — funnel analysis, feature adoption, cohort retention — requires a ticket to the data or analytics team. Waiting days for answers slows product decisions that should be made in hours.

Product metrics sprawl across tools

Usage data is in Mixpanel or Amplitude. Survey responses are in a research tool. Support feedback is in Zendesk. Getting a unified view of a user problem requires pulling from all of them manually and synthesizing insights.

Recurring reporting is still manual

Weekly product reviews, sprint retrospectives, and OKR tracking reports are rebuilt from scratch each time — even when the structure is identical and only the data changes.

The Solution

AI agents that pull product data, run the analysis, and deliver the answers your team needs.

Redbird product analytics solution
01

Product analytics integration

Connect to Mixpanel, Amplitude, or your analytics platform of choice. Redbird pulls event data, applies funnel and cohort logic, and delivers structured analysis — without writing SQL or waiting on a data team.

02

Funnel and retention analysis on demand

Define your funnel steps and cohort logic in plain language. Redbird runs the analysis, applies time-series comparisons, and generates a structured output ready for your product review.

03

Multi-source user insight synthesis

Combine quantitative usage data with qualitative research, NPS comments, and support ticket themes into a unified picture of what users need — assembled automatically.

04

Automated product reporting

Generate weekly product performance reports, sprint retrospective data summaries, and OKR progress updates automatically — fresh data, consistent structure, zero manual effort.

05

Feature adoption tracking

Build automated workflows that monitor feature adoption rates, usage trends, and engagement metrics — and surface anomalies or threshold breaches as alerts.

What teams automate with Redbird

Common product workflows, automated end to end

01

Weekly product metrics report

Pull key product KPIs — DAU/MAU, retention, activation rate, feature adoption — from your analytics platform, apply period-over-period comparisons, and generate a formatted weekly product review summary.

02

Funnel drop-off analysis

Define conversion funnel steps, pull event data, calculate step-by-step conversion rates, and identify the highest-impact drop-off points — delivered as a structured analysis with segment breakdowns.

03

Cohort retention report

Pull user cohort data, calculate week-over-week or month-over-month retention curves by acquisition channel or product segment, and generate a retention report with trend analysis.

04

Feature adoption dashboard update

Automatically pull feature usage data for newly launched features, calculate adoption rates by user segment, and update a feature adoption tracker on a weekly basis.

05

User research synthesis

Ingest NPS survey text, support ticket summaries, and interview notes — apply theme extraction and sentiment analysis — and produce a structured synthesis of key user themes.

06

OKR progress report

Pull metric data for each OKR from the relevant data sources, calculate current progress vs. target, flag off-track OKRs, and generate a formatted OKR status report for leadership review.

The Results

What product teams achieve with Redbird

Same day
Answers without a queue
Product analytics questions answered without analyst involvement
Automated
Recurring reporting
Product reporting that runs without manual effort, every cycle
Unified
User insights
Quantitative and qualitative sources combined in one place
Faster
Decision cycles
When teams have data on demand vs. on request
Works with your stack

Connects to the tools your product team already uses

Works with every tool your team uses today — and anything you add tomorrow.

Mixpanel Amplitude Segment FullStory Heap Salesforce Zendesk Intercom Qualtrics Google Analytics Snowflake BigQuery Jira Excel + any tool you use

Ready to make data-driven product decisions faster?

Product teams use Redbird to automate data collection, run analytics, synthesize user insights, and make better decisions without waiting in the data request queue.

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