Planning Poker is certainly a fun and engaging way to do one of the most boring things on earth (STORY POINT ESTIMATION.)
If I’m not wrong, James Grenning originally came up with this idea. And my understanding is that Planning poker can best be explained by using fundamental premise of Wisdom of Crowd (Why the Many Are Smarter Than the Few). Jack Treynor’s Jelly Bean Jar Experiment is a classic example. The average guess of the group is better than the best guess of any individual.
Can we apply this concept to software estimation? May be. But there are a few small difference. In the case of the jelly bean experiment
Everyone in the group is taking their best guess.There isn’t much prior experience or historical data to look at.
There is zero consequences if they go wrong. They will not be held liable to this number.
Also, everyone, more are less, are equally good at the task at hand (counting.)
Now when we talk about applying the same to highly specialized software development where each skill is quite diverse and the involvement of each person is quite varied. What do we get? A complete mess IMHO!
One way to address this issue is to embrace the generalizing specialist approach. If nothing else, in the long run, these folks would become great assets to the company.
But if you don’t want to go down the generalizing specialist route, and you have people in silos with deep pockets of knowledge/skill, can planning poker work? After trying it for 3-4 years, I did not seen it working. But you should certainly give it an honest try. After all, <sarcasm>its the industry best practice.</sarcasm>
The other argument I often hear in favor of planning poker is that when the teams are doing this, they learn so much from each other. I agree 100% to this observation. Certainly getting a group of people together and asking them to estimate (commit) to something, gets them to talk to each other, share their view points and it leads to knowledge sharing. IMHO knowledge sharing is extremely important. Why not have focused meeting for just knowledge sharing? Brown-bag sessions, show-n-tell sessions, code-walk-thrus, idea-fest, scratch your personal itch days, refactoring-fest and many more. Why morph something so important under the estimation/planning meeting banner, where the priorities are different? People don’t go into a planning session saying “Wow, today all of us are going to learn something new.”
How do you measure or know the effectiveness of a Scrum Master?
IMHO on a given team, in less than 6 months, an effective Scrum Master will make:
process second-nature for the team
That would be the true test for their effectiveness.
In the mean time, I would look for:
Apart from effectively facilitating (not enforcing) the Scrum ceremonies, is the SM helping the team understand the rationale behind those ceremonies?
Is the SM creating a culture of safe-fail experimentation where the team can experiment, learn and grow beyond the standard Scrum ceremonies? If the team is not evolving their practices and work culture, is the SM really doing their job?
Does the SM encourage System’s Thinking and uses techniques like Value Stream Maps, Five Whys, A3, etc. to identify & highlighting bottlenecks in the team?
Has the SM been successful at creating Self-Organized Empowered Team? Or is the team waiting for directions from the SM?
Is the SM able to emerge as a leaders and be the voice of the team, shielding the team from external interferences, yet creating a healthy collaborative culture?
Is the SM able to motivate the team and steer them towards excellence?
Is the SM recording and surfacing important and relevant data about the team’s performance to the team? Basically feeding the team, food for improvement.
Is the SM proactive (instead of reactive) about resolving issues?
Is the SM approachable? Believes in servant-leadership? Extremely knowledgeable about processes? Keen learner and open-minded?
C3: Coverage, Complexity & Churn – Instead of looking at each of these parameters in isolation, we generate C3 graph using a TreeMap and use the cumulative graph to see red spots in the product. Esp. helpful to quickly raise awareness.
Slack: Every team members gets a 10-20% time every iteration to invest on things that hurt them.
Scratch your Personal Itch day: Every iteration each team members gets 1 day to fix unplanned issues on the project
Visitor from Hell: Every month have one person from other team visit you and give you feedback on various aspect of the team. Its up to the team to address these issues or not. But certainly can be used to pitch to the management for additional time to work on these issue.
Code Walk Throughs: Every time a team member (or pair) implements something important, they give a code walk through or a demo to the rest of the team. This usually ensures team members don’t have crappy things when they give a demo.
In Software, Quality is one of those badly abused term, which is getting harder and harder to define what it really means. I think we have a sense of quality. When we see something in a specific context, we can say its high quality or low quality, but its hard to define (and hence measure) what absolute quality really is.
You can measure somethings about quality, but don’t fool yourself to believe that IS quality.
Quality is subjective, relative and contextual.
Some might say things like code coverage, cyclomatic complexity and defect density is a good measure of quality. I would argue that those are attributes/aspects of quality, but not quality itself (symptoms not the disease itself.) Its a classic case of Fundamental Attribution Error. (If you go to France and see the first 50 Frenchmen wear glasses, you cannot conclude all Frenchmen wear glasses. Nor can you conclude that, if I wear glasses I’ll also be French.)