產品

Sense

AI 為主MCPSkill

面向產品團隊和開發者,將螢幕錄製、語音及使用者回饋轉化為附帶原始證據的開發工單和研究洞察,並交給專案管理工具或 AI 寫程式助手。

sensepm.com Chrome 應用商店資料與分析 / 使用者研究與測試

AI 競品立項評估
電腦版
行動端
每月造訪次數
<5K
2026 年 10 月
公開營收
未公開
暫無公開營收證據
入門價
未知
收費方式為免費增值,方案價格尚未識別
創作者
Dávid Kozák
未關聯社交帳號
首次發布
4 個月前
2026-07-23 · 估算

訪問

近 12 個月
每月造訪次數資料截至 2026 年 10 月
事件2 個行銷動作

行銷動作

發布、搜尋與內容、引薦、促銷
  • 在 Fazier 發布(#68 · 27 票 · 8 評論)發布

    Sense_ — Ship what users asked for, not what you remember

    9 月 17 日 · 2 個月前發布頁

    當時 每月造訪次數 <5K
  • 在 Product Hunt 發布發布

    Feedbacks in, shipped features out

    7 月 23 日 · 4 個月前發布頁

第三方評測與案例拆解

客戶來源管道拆解、工程師評測與開源檔案
Fazier
2026-09-17查看原文
核心亮點評測:
Meeting bot. Drop in a meeting link and the bot joins the call, records, and brings the conversation back into your workspace. Offline conversations can be recorded as audio straight from Sense. Chrome extension. Record your screen and voice from the browser and get a shareable link. Grab snapshots mid-recording and circle exactly what you mean. Embeddable feedback widget. A launcher on your site that starts recording a user's voice and screen in one click. No account, no form. Snapshots can be cropped, drawn on, and commented. Nothing enters your workspace until you approve it. Public intake links - widget. Collect feedback from people who have no account and no login. Surveys. Async capture at scale when a call is not worth scheduling. Timestamped transcripts. Every line is tied to its exact moment in the recording. Click a sentence and the video jumps there. Anchors. Sense extracts the verbatim things users said, each one pinned to its spot in the source. These are the ground truth everything above rests on. Insights. Findings synthesized from clusters of anchors, so no summary floats free of the words behind it. Themes. Insights bundle into higher-level patterns, ranked by how much evidence sits behind them. Goals. Feedback is evaluated against the research questions you set, so extraction is scoped to what you are trying to learn. Discuss. Ask a question against a source or an entire project folder and get an answer pulled from the actual material. Folder-level grounding. Sense synthesizes across every conversation in a project, so the pattern lives in the workspace rather than in one person's head. Auto-drafted backlog. Insights become prioritizable action items. Sense produces the tasks rather than a repository of findings someone still has to read and translate. Evidence on every task. Each action item stays linked to the quotes and recordings it came from. Copy prompt. Hands a ready, evidence-linked task to Cursor, Claude Code, or Lovable in one click. MCP server. Query your whole research graph from your coding agent: signals, anchors, insights, themes, and the action-item backlog. Reporter attribution. Every ticket points back to the person who raised it, so you know who to tell when it ships. Shareable reports. For the humans who need the narrative, not just the agents writing the code.
適用人群:
Internal testing and QA. Your tester hits a bug, records it with the screen it happened on, and drops the link straight on the task. "Steps to reproduce" becomes a 20-second clip. External bug reports. Users report problems from inside your product at the moment of friction, with no account and nothing to fill in. First-user feedback. Make giving feedback cheap enough that your best users do it as a reflex, instead of churning silently. User interviews. Stay present in the conversation. The transcript, quotes, and themed insights are waiting when you are done. Live user-testing sessions. The friction someone hits becomes evidence you can point a teammate at, not a memory you half-keep. Walkthroughs for a stuck user. Record a quick tour inside your own app and send a link. This is the part where you can drop Loom. Meeting memos. Turn planning calls into decisions, owners, and searchable context rather than a file nobody opens again. Synthesis across a batch of conversations. Twenty interviews become themes without spending a weekend on it, and every claim is checkable in one click. Prioritizing by weight of evidence. Pick what to build next based on how much real user evidence sits behind each theme. Feeding your AI coding agent. Pipe real user context into Cursor, Claude Code, or Lovable so the agent builds from what users said instead of a two-line ticket.

MCP 服務與 Agent 生態

GitHub 開源與智慧體接入

商店資料

Chrome 應用商店
Chrome 應用商店 Chrome 應用商店
更新日期未同步
評分
評分未同步評分數未同步
上月新增評分
—
價格與內購
免費內購資料未同步
當前版本
—商店公開檔案

商店圖示、評分分布、安裝量級與宣傳截圖同步自 Apple App Store、Google Play 與 Chrome 應用商店。

流量來源

2026 年 10 月

訪問構成

管道

暫無資料

國家/地區

暫無資料

搜尋

站點權重 —網域名稱註冊 2026-03-20

關鍵字月搜尋量
skynse faire190

流量資料:Vaneform

定價

尚未識別出定價頁,或該頁面沒有公開價格。

頁面與變化

開始記錄於 2026-07-23

關鍵頁面

每週快照
sensepm.com/ 快照 2026-11-06

變化

開始記錄以來,定價、方案與定位都沒有變化。

問題與證據

Sense 的網站造訪次數是多少?
Vaneform 估算 2026-10 網站造訪次數為 <5K。造訪次數包含重複訪問,付費客戶數與收入需分別查看對應證據。來源
Sense 是什麼產品,支援哪些平台?
Sense 歸屬「使用者研究與測試」市場領域:面向產品團隊和開發者,將螢幕錄製、語音及使用者回饋轉化為附帶原始證據的開發工單和研究洞察,並交給專案管理工具或 AI 寫程式助手。。 支援平台包括:瀏覽器擴充功能、MCP 服務。

同分類研究對象

資料與分析 / 使用者研究與測試

這些產品屬於同一目錄分類。選型時請進一步核對客戶任務、功能與部署要求。