Back to projects
ACADEMIC TEAM PROJECT · APRIL 2025

PRODUCT DISCOVERY / FINNISH LEARNING

PECTO®

A Finnish learning app concept: from audience research to an AI-supported speaking practice flow.

Product discoveryUser researchAI learning
PECTO team prototype: map, dialogue and situation cards for Finnish practice
Excerpt from the team prototype
TEAM 4 · 4 MEMBERSDISCOVERY → CONCEPT → PROTOTYPESAINT PETERSBURG · HELSINKI
Context00

Learn between commitments and start speaking.

A team project exploring how busy adults could learn Finnish at a flexible pace and use it in practical situations. The materials include research synthesis, competitor analysis, product concept, interface prototype, metrics and a development plan.

01 / Audience

Adults aged 30-50: professionals and entrepreneurs who need Finnish for work, travel or personal development.

02 / Pain points

Limited time for regular classes, difficulty maintaining motivation, too little speaking practice and trouble retaining new material.

↗  Key insight

Speaking practice is identified as a user priority in the research materials. The format should be short, flexible and connected to everyday situations.

01 / RESEARCH

From everyday barriers to a product opportunity.

The team grouped observations across user behaviour, learning context, content preferences, goals, progress, motivation and willingness to pay.

01

Daily rhythm

Most study in the evening or late at night; busy schedules and distractions get in the way of consistency.

02

Format

Short lessons, flexible timing and access across mobile and desktop matter.

03

Practice

Spoken Finnish, pronunciation and skills for real situations are priorities.

04

Motivation

Learners want to see personal progress and understand how study helps them communicate.

05

Context

Cultural topics and current content are appealing; learning should connect to real life.

06

Payment

Materials mention a willingness-to-pay range of RUB 500-1,000; this is a research observation, not a validated price.

Product opportunity

Make speaking practice practical and lightweight enough to fit into a busy day.

→
02 / PRODUCT CONCEPT02

Speaking practice shaped around real situations.

The presentation describes a situational AI simulator. A learner selects or suggests a situation; the app proposes a topic based on context, listens through the microphone and adapts difficulty. GPT‑4 and Google Speech-to-Text are listed as concept technologies.

01

Scenarios

Dialogues for everyday situations: a meeting, a trip or a conversation.

02

Flexible format

Short sessions that learners can start at a convenient time.

03

Support

Flashcards and dictionary, a content library and visible progress.

04

Personalization

Professions, events and interests shape learning topics.

INTERFACE PROTOTYPE

A glimpse of the proposed first version.

The materials show concept screens for a home map and practice entry point, phrase cards, conversation scheduling, dialogue, situations and dictionary. This is a product prototype, not a launched app.

03 / MARKET & FOCUS03

Differentiate through practical speech and context.

The team compared Duolingo, Babbel and Memrise and proposed a direction for PECTO: adaptive speaking practice, real-life scenarios and flexible learning for busy users. This is a hypothesis from an academic analysis, not a validated competitive advantage.

PRIORITIES IN THE MATERIALS

The prioritization materials include spaced-repetition flashcards, audio with pronunciation analysis, progress tracking, short-conversation video and offline mode.

Spaced repetitionPronunciationProgressShort dialoguesOffline
04 / METRICS & VALIDATION

See where learners drop off and what helps them return.

The team proposed a funnel across acquisition, activation, retention, referral and revenue. It is a measurement plan; the materials do not include actual metric values or experiment results.

01Acquisition

DAU · MAU · CAC

02Activation

Sign-up · conversion to paid

03Retention

Stickiness · LTV · churn · UMUX

04Referral

Referral DAU · NPS

05Revenue

Revenue · ARPPU

CASE MATERIALS

Research, metrics and prioritization.

CASE SCOPE

PECTO is an academic team project. This page presents team work based on the presentation and research boards. The sources do not break out Daniil’s individual tasks or include validated user testing and actual product outcomes, so these are not attributed to one person. The roadmap, forecasts and business model reflect an academic concept.

SOURCES: TEAM PRESENTATION AND RESEARCH MATERIALS