IT

IT Maturity Models – request for comments

Hacker News

IT Maturity Models – request for comments

Hi HN, I am working on enterprise IT maturity models, and the work in progress may be useful to some of you: https://docs.google.com/forms/d/e/1FAIpQLScLp6atgbi1UzWDZopBbk4nQPjcZDrjFN0r0qtk8usE7d1nrg/viewform This is a Google form that is a self-assessment of IT maturity. The text is thanks to the IT Capability Maturity Framework by the Innovation Value Institute (IVI). Constructive criticism is welcome, such as how to make the Google form more useful, or additional questions, or alternate maturity models, or feedback on how you use concepts like this in your company, etc. Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, models · Missing: mac, agents, macos
73%73% 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: google · Missing: mobile apps, ios, personal
66%66% 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
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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