Research

Turn interview notes, tickets and surveys into an evidence-backed decision memo

Automate Canny tasks with the Rube MCP toolkit from Composio

Automate Dovetail tasks with the Rube MCP toolkit from Composio

Automate Formbricks tasks with the Rube MCP toolkit from Composio

Automate Gleap tasks with the Rube MCP toolkit from Composio

Automate Idea Scale tasks with the Rube MCP toolkit from Composio

Automate Mopinion customer feedback and survey tasks through Composio Rube MCP

Automate Qualaroo on-site surveys and customer feedback tasks through Composio Rube MCP

Automate Refiner in-app surveys and customer feedback tasks through Composio Rube MCP

Automate Retently NPS surveys and customer feedback tasks through Composio Rube MCP

Automate Satismeter NPS surveys and customer feedback through Composio Rube MCP

Automate Simplesat customer satisfaction surveys through Composio Rube MCP

Create SurveyMonkey surveys, collect responses and manage collectors

Analyze interviews, surveys and support tickets into voice of customer insights

Compare session replays across experiment variants to find usability and behavior gaps

Read a page heatmap for clicks, rage clicks and scroll depth and recommend fixes

Create and size a Replay Vision scanner and check credit spend before launch

Create and launch NPS, CSAT, hosted feedback and headless surveys with audience targeting

Diagnose survey visibility and missing responses across web and mobile SDKs

Design Replay Vision scanners that give trustworthy, evidence-backed observations

Diagnose why a session recording is missing or was never captured in PostHog

Read Replay Vision observations, find recurring patterns and turn real issues into tasks

Stream canonical use cases of an AI feature to Slack with an LLM judge

Find the most informative session replay linked to an error tracking issue

Narrow hours of recordings to a short list of high-signal sessions worth watching

Build a headless PostHog survey into your own UI and verify the first response arrives

Investigate a session recording with person, events and linked errors in one pass

Set up a Replay Vision scanner that watches one experiment's sessions per variant

Watch Replay Vision scanners for throughput cliffs and surface recurring themes

Watch session capture for drops and surface rage clicks and friction in recordings

Watch active surveys for score drops, abandonment and recurring open-text themes

Pull attributed customer quotes on a topic from calls and email threads

Synthesize interviews, surveys and feedback into ranked insights

Map an interview transcript to verbatim-backed themes and test that findings hold

Validate product opportunities and test problem-solution fit before building

Choose research methods, set sample sizes and synthesize product research

Create personas, journey maps and usability test plans from user research

Brainstorm feature ideas from PM, design and engineering views for a product

Brainstorm features for a new product in discovery from PM, design and engineering views

Map a customer journey with stages, touchpoints, emotions and friction points

Write customer interview scripts with jobs-to-be-done probes that avoid leading questions

Map a desired outcome to opportunities, solutions and experiments in an OST

Score user feedback sentiment by segment to find satisfaction patterns

Summarize interview transcripts into jobs, satisfaction signals and action items

Build three refined user personas from survey data with jobs and pains

Segment users by behavior and needs from feedback into at least three groups

Turn screen and voice recordings of product feedback into bug and requirement evidence

Sweep Slack and GitHub Issues feedback for new items and turn them into a plan

Cluster support, review and Slack feedback into quantified themes linked to Linear issues