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Klaster

Designing a clearer path to confident conversation. Klaster connects guided scenarios, AI speaking practice, and actionable feedback in a mobile experience built around everyday communication.

Services offered

  • UI/UX Design
  • Product Experience Design
  • Visual & Interaction Design
Two phones on a glowing plinth showing a Klaster speaking session with its orb and controls, and a feedback screen with a score of 82.
Sector
Learning · Communication skills
Experience
Mobile conversation practice
Focus
Context · Confidence · Reflection

01 / Design context

Give speaking practice a clear purpose

The supplied Klaster designs explore a mobile experience for practising English conversation with an AI coach and fellow learners. The design challenge is to connect the moment someone wants to practise with a useful scenario, a clear speaking experience, and feedback they can return to.

  1. A real-life situation

    Help me prepare for a conversation

    Guided scenarios give a learner a concrete setting: a team meeting, an interview, a presentation, or a negotiation. Context makes the practice easier to begin.

  2. A personal starting point

    Help me work on my own topic

    The open speaking route lets someone bring a topic of their own. Suggested prompts reduce the effort of deciding what to say first.

How might a short practice session lead to a clearer next conversation?

The experience links preparation, speaking, reflection, and repeat practice. Each stage gives the learner a different kind of orientation.

  1. 01

    Choose

    A situation or personal topic

  2. 02

    Practise

    Speak with visible controls

  3. 03

    Reflect

    Review objectives and delivery

  4. 04

    Return

    Revisit reports and try again

02 / Visual language

A calm canvas with an expressive speaking signature

Klaster’s visual direction combines Satoshi typography, bright surfaces, soft card shadows, and a blue-to-green gradient. The speaking orb gives the AI interaction a recognisable focal point, while the same colour language carries into actions, score gauges, and the central Speak navigation item.

Satoshi

Bold / emphasis and headings

Medium / interface labels

Regular / supporting copy

A consistent family connects scenario cards, controls, reports, and navigation.

A recognisable action across the journey

Start Practice Session

The blue-to-green gradient anchors the primary action. Labels name the task directly, while supporting controls keep a lighter visual weight.

03 / Finding a starting point

Make the first session easy to choose

The home screen combines a recommended practice with two clear ways to begin: AI speaking and live conversations. Guided browsing then organises scenarios by communication context. Before a session starts, the scenario detail explains the situation, expected effort, and learning objectives.

Klaster home: welcome back, activity stats, a recommended practice, AI speaking and live conversation options, and tips.

A personal practice hub

A quick-start recommendation, activity summary, and recent report keep the next session close to the learner.

Guided practice catalogue grouped by business communication, professional development and more, with photo cards.

Browse by situation

Photography and short titles make a broad scenario catalogue tangible. Topic groups support exploration without asking for a topic from scratch.

Scenario detail for negotiating a deadline extension, with the scenario, learning objectives and a Start Practice Session button.

Understand the exercise

The brief names a role, a communication challenge, and specific objectives before the start action.

  1. Relevance

    Use a recognisable context

    Workplace situations make the exercise concrete enough to imagine and begin.

  2. Expectation

    Explain the task beforehand

    A short duration and visible objectives help someone anticipate the kind of practice ahead.

  3. Choice

    Leave room for personal intent

    Guided scenarios sit alongside open speaking and live conversations, supporting different starting points.

04 / Speaking interaction

Keep the conversation at the centre

Speaking needs a different interface from browsing. The designs move attention towards a central orb, a named conversation context, and a small set of controls near the bottom of the screen. A transcript view provides a readable record when the learner wants more detail.

Speak screen asking what you would like to discuss, with a topic field and a Start Conversation button.

Bring a topic

The topic field and a direct start action turn a personal intention into a session.

Speaking screen with the orb, a Hello Harsh greeting and a Speak Now cue.

Know when to speak

A welcoming prompt and “Speak Now” cue give the otherwise open canvas a clear instruction.

Guided session with the orb and New Topic, Mute, Stop and Transcript controls.

Keep controls within reach

New Topic, Mute, Stop, and Transcript remain grouped while the scenario stays named at the top.

Conversation transcript with the coach's prompts and feedback and the learner's replies.
Transcript / speaker distinction and a readable exchange

One focal point for the speaking moment

The orb gives the live conversation a visual anchor. The surrounding space reduces competing information while the learner speaks.

Detail stays available on demand

The transcript expands the spoken exchange into text. Distinct message treatments separate learner responses from the coach’s prompts and feedback.

The supplied screens show interaction states; animation timing and recognition behaviour are outside this case study’s evidence.

05 / Session feedback

Make completion feel like a useful handoff

Finishing a practice session leads into an explicit evaluation state, followed by a readable score summary. The feedback screen connects the overall result to named learning objectives and offers routes to the transcript, a detailed report, and another session.

Practice completed screen saying the score is being evaluated, with other guided practices and Back To Home.

Acknowledge the wait

The completion state explains that scoring is in progress and offers other guided practices and a route home.

Feedback screen with a score gauge of 82, Good, and a score breakdown by objective with letter grades.

Start with a readable summary

An overall score and an encouraging sentence introduce the result before the objective breakdown.

Separate the result from its explanation

A prominent gauge gives a quick summary. The breakdown then names the communication skills being considered, from framing and empathy to closing a negotiation.

Support the next attempt

Transcript access lets a learner revisit what was said. A new-topic action and detailed-report link keep reflection connected to further practice.

Scores and recommendations are sample design content from the Figma file.

06 / Reports and progress

Let feedback become something to revisit

The report surfaces delivery signals such as filler words, pace, pauses, and variation through chart cards and short tips. Insights expands the perspective across sessions, while the report-history tab keeps individual practice records accessible. This creates a path from one session’s reflection to an ongoing practice habit.

Detailed report with filler words, speech pace and pause charts and tips.

Read the delivery detail

Chart cards combine a named metric, a value, and its pattern over time. Nearby tips suggest what to try in another session.

Insights with time-range filters, an overall score trend and a performance breakdown.

See the broader pattern

Time-range filters and an overall trend sit above the same performance categories, helping the learner revisit progress over time.

Session reports list with search and recent sessions, each with type, duration and score.

Find a previous session

Session title, type, duration, and score form a consistent row. Search and tab navigation provide a route back to earlier feedback.

Three levels of reflection

Session summary → delivery detail → overall insights

The structure lets someone start with a result, inspect a particular signal, and return later to understand a broader pattern.

A number is more useful when its meaning stays close.

Metric names, charts, short explanations, and suggested actions give the report a clearer reading order. Values shown are source-design examples, not evidence of learning outcomes.

07 / Practice and return

Support a habit with more than one way to practise

Peer Practice extends the experience beyond the AI coach. Scenario cards distinguish topic and level, while brief practice tips set a supportive tone. Together with the personal hub and report history, this surface explores how a learner can keep returning with a new purpose.

Peer Practice with tips and scenario cards such as coffee shop small talk, each with a level and Find A Match.

Make the social exercise explicit

Cards explain the conversation setting, indicate level, and place Find a Match beside the brief. Guidance encourages patience and a supportive exchange.

A phone on a stand on a sunlit desk showing a Klaster speaking session, beside a notebook and earbuds.

A compact session that fits around everyday work

The mobile format carries the same speaking controls and visual language into short practice moments between longer tasks.

“Give me a situation to practise,
space to speak,
and something useful to try next.”

Experience principle

  1. 01

    Start with context

    A concrete scenario and visible objectives give practice a purpose before the conversation begins.

  2. 02

    Match the interface to the moment

    Browsing, speaking, and reflection use different information densities while sharing a consistent visual language.

  3. 03

    Connect feedback to another attempt

    A summary, transcript, detailed report, and session history create several ways to revisit and continue the practice.

Design case study based on the supplied Klaster mobile Figma designs. Screens contain sample names, scores, charts, and recommendations. The narrative explains observable design choices; research findings, production behaviour, and measured learning outcomes are not provided in the source.

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