Identify unmet community needs so that new products or services can be designed

Combine qualitative and quantitative insights to uncover unmet needs and opportunities across a suite of products or services.

Design plan

Option 4:
Learn about a group or community
Time frame: 12 – 24 weeks
Budget: $200,000 – $250,000

How do I do this?

  • Desktop research or landscape review

    Method

    To ensure prior internal and external research is incorporated into research design and planning.
  • Expert interviews or stakeholder workshop(s)

    Method

    To identify internal understandings of challenges and opportunities. Multiple workshops should be scoped, depending on the complexity of the stakeholder group.
  • Survey or opportunity sizing

    Method

    To gain quantitative data around a community or population’s needs and behaviours. This may be done after ethnographic research in order to size pain points or opportunities identified through that phase.
  • Ethnographic research (x 40 participants)

    Method

    To focus on understanding how people behave and what they use, in order to identify opportunities for improvement.
  • Research synthesis

    Method

    Ensuring that stakeholder questions are answered, that insights are documented in a robust and reusable way and that actionable recommendations for the product or service are arrived at.

What will I get?

  • Insights report

    Output

    The output from user research, containing insights, stories, opportunities or recommendations backed up by evidence.
  • Current state journey map

    Output

    A tool used to visualise the user experience. It shows where and when a person or group interacts with existing services and products and what the experience is like for them.
  • Personas

    Output

    A made up person (archetype), based on user research, that represents a group of people who use a site, service or product in a similar way or who have similar user needs.
  • Quantitative insights

    Output

    Research with large or many datasets that describe ‘what’ happens rather than ‘why’ it happens.

Pros

  • Understands knowledge gaps before new research is conducted.
  • Gives confidence on the behaviours and needs of the community.
  • Creates knowledge for use across multiple projects.
  • Sizes opportunities identified.

Cons

  • Insights may need translation for specific design projects.

Updated