Listening deeply helps you build a safe space for a person to communicate more of what's on their mind.

People truly feel heard.

This is Data Science that Listens.

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🔗 medium.com/inclusive-so...

You can track progress in a new way, depicting what outcomes various thinking styles are experiencing.

🌱This is Data Science that Listens.

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Learn more about it here:
🔗 indiyoung.com/training/#se...

Listening deeply produces a wealth of durable #knowledge for your ideas team.

A mental model skyline is a systematic way to simply portray the messy, changeable realities and variety of human cognition. You can support more thinking styles with more ideas.

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🔗 Remove bias from your solutions. Read the entire article here:
medium.com/user-researc...

Orgs erroneously believe that the messiness of true human thinking, and inconsistency of moods, needs to be made average to affect their market share.

These errors lead directly to assumptions, to bias, and from there to harmful experiences and outright discrimination."

Our team uses thinking styles when we are doing an idea session. Thinking styles come from deep listening about people's purpose/intention. It's upstream from any ideas or solutions.

Now you can generate better new ideas.

The better ideas let you more smoothly explore several solution ideas in parallel, make prototypes faster, and get a few well-thought-out solution ideas in front of leadership.

This is Data Science that Listens.

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Read more here:
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A reliable way to get some depth when seeking ideas you don't have, is to have access to your team's mental model skyline.

A mental model skyline is a visual structure, showing patterns of cognition built way ahead of time from the concepts from listening sessions. You build it once.

When a team is not stressed and has time to absorb knowledge about an opportunity, their minds will reliably produce novel solutions that support more human complexity. Ideas don’t happen during a scheduled meeting. They happen before it.

Teams need time let bits of information combine in novel ways, and that happens when a person’s mind is not trying to come up with ideas. (Where do ideas happen to you? Ex: during a conversation, walking somewhere, listening to a podcast, on the waking edge of sleep.)

⛺ A provincial park campgrounds team realized that a special party campsite was easy to set up away from the quieter campers, with facilities that support human as well as environmental celebration.

This is Data Science that Listens.

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Learn more:
🔗 medium.com/inclusive-so...

A nutrition council wants people to add more fresh leafy greens to their meals. Instead of trying to change the careful cook who follows a recipe exactly (so it will turn out correctly), they realize they can support this cook's approach by getting the cooking shows and zines to cover these recipes.

🎹 The parent who carefully planned their return trip with four hours buffer to be able to attend their child’s first piano recital could be offered free wi-fi and quiet space to connect with someone at the recital.

Similar ideas arose in other teams.

When this team realized their grumbler had valid reasons for feeling frustrated at the gate, they realized they could actually create solutions to address their frustration.

An airline team referred to the people as “grumblers” when they took up gate attendants’ time during flight delays. Worse, the team imagined these people grumbled in all aspects of their lives, yelled in traffic, and harassed town councillors at civic meetings.

🚶The person is leading you, and they are taking you to the parts of that landscape that are key to them.
❗They are the only one who brings up new topics.❗

From the Listening Deeply book and course.

Enroll here:
🔗 lnkd.in/gjgpdGWx

In a #listeningsession you are not going to explore every single path in a landscape. That's because you are following one person who sticks to certain paths.