What good and bad software teams believe differently
Stumble It!Previously I have discussed The beliefs of High Performing Teams (HPTs) and shared the results of a research project on the beliefs of HPTs in a major software organisation. I now invite the SPICE2006 participants and other software engineers to participate in the next stage of this research.
What I would like you to do is to share (anonymously if you like) what you consider the beliefs were in best and the worst software teams you have ever been in.
This will help us to see the difference, if any, between what good teams and bad teams believe and whether there are critical beliefs which make the difference.
This is a 3-6 months project – I want to gather as many inputs as I can - results will be published on www.bioteams.com .
If you include your email in your entry I will ensure you are also sent a summary of the completed findings when they are ready.
Click this link to record what the worst team you were in believed
Click this link to record what the best team you were in believed
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What teams can learn from wolves
If you think that there is not much human teams can learn from nature think again! Temple Grandin in her amazing book Animals in Translation: Using the Mysteries of Autism to Decode Animal Behavior (p303-307) puts forward the incredible theory that early humans only became today’s successful homo sapiens because they learned to act and think like the wolves they co-habited with.
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What good and bad software teams believe differently
Previously I have discussed The beliefs of High Performing Teams (HPTs) and shared the results of a research project on the beliefs of HPTs in a major software organisation. I now invite the SPICE2006 participants and other software engineers to participate in the next stage of this research.
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Thanks for taking the time to discuss this, I feel strongly about it and love learning more on this topic. If possible, as you gain expertise, would you mind updating your blog with more information? It is extremely helpful for me.