4. Information flows through the organization to support each level of planning Strategic (Org Goals) Tactical (Portfolio Level) Operational (Team/Project Level)
5. Group A (3 Teams) Group C (4 Teams) Group B (2 Teams) Supporting Teams (OPS, Internal Infrastructure) - ~100 people in MedCo Engineering - big band Agile transition - team of 3 coaches - cross-functional teams created
8. not started training/kickoff embedded coach on their own agile transition visibility group A group B - purely subjective - reviewed at standup - sparked conversations about how to help teams - helped prioritize types of training Team 1 (kickoff next week) JL Team 2 (training today!) JL Team 1 MS Team 2 MS
20. understanding our “smart number” wasn’t smart enough re-think of organizational strategy company open space to come up with a better plan first step towards breaking down silos Getting Visible Led to:
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23. “ Q4 is a fast growing software company. Over the last 12 months we have seen a significant spike in sales and bringing on new customers. With this increase in sales also came a number of production problems in getting those clients live. It was not clear if we had problems in our process or not enough people. By visualizing all of the data related to sales and implementations we have been able to identify the problem areas more quickly and change our organization strategy and product direction.” - Q4’s CEO, Darrell Heaps
24. Thank You! Jason Little @jasonlittle http://www.agilecoach.ca [email_address] Exa mples and Other Mat erial : http://www.agilec oach.ca/visibility
Hinweis der Redaktion
Today I’m going to talk about making your organizational progress and agile transition visible. I’ll go through a medium sized companies journey through an agile transition and show how our coaching team made data across the organization visible, what worked, what didn’t and then show some lessons I learned along the way. - talk about the value of visibility. I’ve always like the phrase ‘nowhere to run, nowhere to hide’ - in traditional orgs, data that flows through organization gets cleaned as it makes it’s way up the chain, the visibility created by adopting agile practices is designed to surface information about what’s really going on. - talk about how visibility, from my experience, is limited to team-level information which isn’t as helpful to managers and executives who need different data visible to make decisions
- typical visibility is around team-level or project-level areas - helps the team make decisions - designed to expose what’s really going on to management - talk about how simple is perfect to start with, add more data as you need it coaches see this data and it exposes deeper organizational problems, management see this data and they want to make the team work harder
talk about toronto agile open space, person mentioned they have net promotor scores for multiple products - team-level data doesn’t necessarily help with tactical decisions - need to find data to answer a variety of ‘why’ and ‘what’ questions that can help determine the right priorities for teams
- talk about how managers/execs are able to make better strategic decisions when they have real data - use Q4 example, seeing that sales was far out-pacing getting clients live gave the ceo/cto better data to decide where to focus more time and money - close with how data must flow up and down these levels to keep the org aligned
set some context, paint a picture of the org structure, size etc. talk about overlapping code, how each ‘group’ handled new dev + maintenance
- after 3 months into the transition I was talking to the CTO and mentioned that there sure was a whole lotta shit all over the walls, but he still had no idea what was going on. - talk about the relevancy of data for someone at his level - not efficient for him to walk around to every team to see what’s going on across multiple teams/projects mention the Gemba Walk session....if you went to it
- hey, we do a lot of patches, what’s up with that? talk about what other data and challenges we discovered
talk about the phases: phase 1: get the data - ‘how did this happen on your watch?’ - doom and gloom - deer in the headlights phase 2: do something about the data - don’t want to save the world - personal safety, panic, frustration
talk about how the visibility led to a different strategy for product made visibile the bottleneck is getting clients out the door, led to ‘why’ questions