Product Management: workflows your whole team can run
Product Management work your team's AI can pick up and keep running.
4 recipes found
Auto bug report aggregator: Sync Zendesk bug tickets into Google Sheets
Transform your Zendesk bug reports into a centralized powerhouse by automatically syncing tagged tickets into a structured Google Sheets dashboard. This workflow enriches every entry with vital reporter details and employs deduplication logic to ensure your dev team always has a clean, reliable source of truth. Streamline your product triage process and keep stakeholders informed without any manual data entry.
Automate UX research planning with Gemini AI, Google Docs, and human feedback
The Planning Research automation transforms the way product teams gather and synthesize information for new initiatives. Instead of manually scouring data sources and formatting documents, this workflow centralizes the entire discovery process. It begins with a simple form where team members can submit ideas or research requests. The system then automatically triggers a sequence that pulls relevant external data, processes logic to organize findings, and generates a professional research brief in Google Docs. By automating the administrative burden of document creation and data gathering, your team can focus on strategic analysis rather than manual data entry. This tool ensures that every product decision is backed by consistent, well-structured research. It also closes the communication loop by automatically notifying stakeholders via Gmail once the research document is ready for review. This leads to faster decision-making cycles, better-informed product roadmaps, and a standardized approach to market and product intelligence across the entire organization.
Generate SaaS product ideas from market gaps with OpenAI and Bright Data
The Analyze Market Gaps automation is a strategic tool designed to identify untapped opportunities in your industry by systematically processing market data. Instead of manual research that is often outdated by the time it is finished, this automation runs on a set schedule to scan and evaluate current market conditions. It extracts critical data points, identifies where competitor offerings fall short, and highlights specific areas where your business can gain a competitive edge. By consolidating these insights into a centralized Google Sheet, the automation transforms raw market signals into a structured roadmap for product development and marketing strategy. This allows leadership teams to make data-driven decisions about product features, expansion opportunities, and resource allocation without spending hours on manual data entry or analysis. The result is a proactive approach to market positioning that ensures you are always one step ahead of industry trends.
Track and report App Store featuring nominations with MySQL, Slack and Google Drive
This automated Product Management reporting system streamlines the way your team tracks progress and performance. Instead of manually querying databases and compiling spreadsheets, this automation handles the heavy lifting on a scheduled basis. It securely retrieves raw data from your MySQL database and connects with external product tools via authenticated API requests. Once the data is gathered, it automatically processes the information into professional reports, converts them into accessible file formats, and archives them within Google Drive for permanent record-keeping. Finally, it sends an instant notification to your designated Slack channel, ensuring that stakeholders have immediate access to the latest insights. By automating this routine, product managers can shift their focus from administrative data entry to strategic decision-making. The result is a more transparent development cycle, improved data accuracy, and a consistent communication loop that keeps the entire organization informed about product health and milestone progress without any manual intervention.
Why Runwork for Product Management
Anyone on the team can use it
You get forms and dashboards people can open, not workflow logic buried in a tool one person knows.
Your own agent adapts it
Claude, ChatGPT, Cursor, whichever your team already uses. Tell it what is different about your process.
It keeps running
It lives in your team cloud and runs on schedule, so it does not stop the moment someone closes a laptop.