Kindnest

RESPONSIBILITIES

Comparative & Competitive Research, User Interviews, Persona, User Flows, Mid to High-Fidelity Wireframing, Basic Prototyping, Usability Testing

TOOLS

Photoshop, Sketch, InVision, Maze, Otter Voice Memos

TIMELINE

10 Days

I arrived at the idea for Kindnest by brainstorming definitions of kindness with a couple of friends during the holidays. We came up with two possible app ideas on the theme of kindness that would potentially benefit New Yorkers:

1. An app that allows restaurants to donate their leftover or unused food
   Every day, many food establishments generate tons of food waste by disposing of excess food. This product would connect individuals to cafés and restaurants about to throw away food.

   • Similar to: Goodr, Re-Plate, Rescuing Leftover Cuisine, Seamless

2. An app that enables residents to donate skills or services to someone in their local community (Selected)
   This app would encourage city dwellers to help neighbors in need by donating their time and/or abilities. The voluntary services that can be provided can be simple, such as moving furniture, or more professional skills, such as one-time pro bono tutoring or nursing services.

   • Similar to: Catchafire, Care.com, Fiverr, TaskRabbit

Hypothesis

Designing a platform that matches willing individuals with neighbors in need will encourage city dwellers to be kinder to one another.

User Research

To better understand how “kindness” is defined within the context of local neighborhoods.

Methodology

• Interviewed five people in personal network who lived in a major city (New York, Boston)

• Four out of five interviewees were aged 25–35, one was over 50 years old

• Interviews lasted 8–15 minutes and were recorded & transcribed using the Otter Voice Notes app

• Interviews gauged individuals’ experiences with giving and receiving acts of kindness.

• Sample Questions include:

1. How would you define “kindness”?

2. How do you show kindness to your family? Your friends? Your peers? Your neighbors?

3. Tell me about the last time someone you don’t know was kind to you.

4. Tell me about the last time you were kind to someone you know. Why did you do it?

5. Tell me about the last time you were kind to someone you don’t know. Why did you do it?

6. Tell me about a time when kindness was difficult for you. Why was that?

7. When was the last time you needed help with something? How did you get help? What happened as a result?

Synthesis

I used a technique called affinity mapping to discover themes and insights from the raw interview data, such as:

• I show kindness by being present for others.

• I empathize with people in need.

• I think kindness is easier when it’s mutually shared and I feel safe.

• I generally don’t trust people I don’t know.

The Neighbor In Need

How might we…

…help New Yorkers like Michelle find trustworthy people who can help her move for free?

…empower Michelle to feel safe about asking for help? To feel safe about helping others?

…encourage Michelle to return the favor as a returning user?

I tested the prototype on six users remotely using a usability analytics tool called Maze. I assigned participants five tasks and defined an ideal path for each task. The tasks are as follows:

1. Create an account

2. Add a new request

3. Get help from a neighbor

4. Close a request after it’s been fulfilled

5. Return the favor

The amount of feedback I could receive during usability testing was minimal, due to the method I chose as well as the limited options available to free Maze accounts. Some of the feedback I received included:

• "It was very easy to use"

• "Easily navigable, intuitive set up."

• "Looks good! Functions well!"

Future Considerations

The Discover tab was a half-baked idea. Should we replace it with something else, or scrap it altogether?

Which factors contributed to errors in tasks 3–4? How might we reduce user errors in the future?

How might we incentivize New Yorkers to actually use this app, especially when people can provide services on Fiverr and TaskRabbit for money?

How might location and culture impact the success of community-building apps? Would an app like KindNest work in a place like New York, or might it be more effective in areas with a more community-oriented mindset?