Visual OKRs

Hacker News

Visual OKRs

I’m a big fan of OKRs (Objectives and Key Results). But there’s one thing missing. Research shows that bringing a visual component to goal-setting improves outcomes. That’s why we made a tool for tracking “Visual OKRs”. You can add a motivational image to each critical OKR with https://teamsuccess.io/ It’s very difficult to align teams around a common vision. Visual aids; doodles, diagrams, infographics, photos, images, drawings, cartoons, videos or storyboards are a great way of conveying a vision. “Visual OKRs” means adding a visual aid to an OKR. Visual aids supplement words with pictures, charts, graphs, or other visual information. They are important because they help teams understand and remember the ambitious goal. Increase interest. And act as reminders for stakeholders and team members. What do you think?

Visit product View on Hacker NewsFeb 26, 2020

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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