Real process. Reusable thinking.
Tipshelf is a lightweight internal tool that helps async teams capture and reuse process-level knowledge across roles, timezones, and projects.
πΈ 1. User Personas
π€ Lisa β Junior UX Designer / Knowledge Seeker
- Role: Junior UX Designer (1st year)
- Context: Remote team, recently joined a cross-functional product squad
- Pain Points:
- Often unsure how to solve unfamiliar problems
- Finds it hard to locate useful insights beyond project-specific docs
- Goals:
- Learn from othersβ experiences, not just decisions
- Gain confidence through understanding past processes and problem-solving steps
- Usage Scenarios:
- Lisa struggles with designing a user flow with branching logic. Searching through Slack gives her decisions, but not the reasoning.
- Using Tipshelf, she finds a post by a peer sharing how they explored multiple options and used team feedback to narrow down the flow.
- Because the post is tagged with
Figma
, Flow Design
, and Prototype
, Lisa finds it easily and is able to explore related tips as well.
π€ Anna β Mid-level Engineer / Knowledge Contributor
- Role: Mid-level Engineer (3rd year)
- Context: Contributing to shared practices and mentoring new members
- Pain Points:
- Initially found knowledge sharing vague and effortful
- Unsure if her shared tips were useful or acknowledged
- Goals:
- Help others avoid similar struggles by sharing real process insights
- Feel that her contribution has a visible impact
- Align with company culture where sharing is valued and rewarded
- Usage Scenario:
- At first, Anna found Tipshelf confusing and time-consuming β especially when posting was mandatory during her onboarding.
- But over time, she received feedback like βπ Helpful!β and comments like βThanks, this saved us hours!β
- This made sharing enjoyable. Knowing that tips are recognized in performance reviews also gave it more meaning.
π€ Ethan β Frontend Engineer / Contributor
- Role: Frontend Engineer (2nd year)
- Context: Works in a remote, cross-functional product team with tight feature release cycles