Customer Feedback Audit: What Your Team Actually Knows
Audit every feedback source, integration, and theme in Deck, find the gaps, and get one next step for each. Run it in the app or hand it to your AI agent.
- Integrations
- Themes
- MCP Server
Product workflows you can run in Deck or hand to your AI agent. Each one shows the steps in the app, the prompt for your agent, and a copyable artifact.
Audit every feedback source, integration, and theme in Deck, find the gaps, and get one next step for each. Run it in the app or hand it to your AI agent.
Connect Slack, Intercom, Zendesk, Gong, and your other feedback tools to Deck, then confirm the data actually arrives. Do it in the app or with your AI agent.
Move survey exports from Typeform, Qualtrics, SurveyMonkey, or Google Forms into Deck as CSV uploads, and turn free text answers into insights and themes.
Upload interview recordings and transcripts to Deck and get insights linked to verbatim quotes and grouped into themes. Run it in the app or with your AI agent.
Import Linear initiatives and projects into Deck, keep each one linked to Linear, and back every roadmap item with customer evidence. Nothing changes in Linear.
Import Jira epics into Deck as Projects, keep each one linked to its epic, and attach the customer evidence behind the work. Nothing changes in Jira.
Find the initiatives and Projects with little customer evidence, link the evidence Deck already has, and see what your team is building on gut feel.
Compare Slack, support, CRM, and call notes with what Deck already has. Find the customer feedback it is missing and get one fix for each gap.
Create a Deck feedback widget, install the @deck-io/feedback SDK, and send in-app feedback into Deck next to your support, interview, and survey data.
Check your Deck credit balance, warning level, and waiting uploads before a big import or competitor research run, then get one verdict: go, wait, or ask.
Design a theme taxonomy from your product areas and real customer quotes, then apply it in Deck with clear names and descriptions, by hand or with your agent.
Find duplicate, vague, oversized, and stale feedback themes in Deck, decide one fix for each from real counts and quotes, and apply only what you approve.
Find the insights in each Deck theme that no subtheme holds yet, decide where each one belongs, and place them only after you approve the plan.
Set up customer segments in Deck with rules that tag feedback by plan, domain, or source, check each rule catches the right insights, then filter by each group.
Write a weekly brief of new feedback, growing themes, negative signal, and NPS movement, using Deck's own numbers and quotes. Run it in Deck or with your agent.
Pick the top opportunities from a backlog ranked on customer evidence, with a reason, a risk, and quotes for each pick. Run it in Deck or with your AI agent.
Compare what two customer segments ask for, such as enterprise and SMB, with shared themes, leading themes, and quotes. Run it in Deck or with your agent.
Explain your NPS score with its period, trend, and respondent split, then find the themes and quotes that drive detractors. Run it in Deck or with your agent.
Find where competitors are weak using their public reviews, then check each gap against your own customer feedback before it reaches your backlog.
Promote a competitor finding into your Opportunity Backlog with the review quotes attached, then match it against your own customer feedback before you plan.
Turn a ranked backlog opportunity into a Deck Project that keeps its customer evidence, then link it to one Linear project or Jira epic for delivery.
Group two to six backlog opportunities that share one customer problem into a Deck initiative with a clear goal, linked evidence, and written outcomes.
Turn a Deck Project into a shipped change where every requirement links to the customer insights behind it. Build it yourself or with your coding agent.
Check if a release worked by comparing customer feedback on the themes it targeted in equal windows before and after launch, with quotes and a clear verdict.
Find the customers whose feedback asked for a change you shipped, draft a short personal note for each, and send it from your own tools once you approve.