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Give MTS a voice and turn My MTS into a platform

Head of Design (B2C ecosystem) · May 2024 — Jul 2025

4 public voice launches in 2025
first AI noise cancellation in mobile voice
>30 products inside My MTS

14 months at MTS as Head of Design for the Digital Storefronts unit (DSU). Six products under the unit and around 40 designers through leads and art directors. The main focus was the voice ecosystem at the intersection of AI and telecom, plus moving My MTS into a platform state where five separate businesses publish content on equal terms. Alongside that I set the team's operating rhythm — regular syncs with PMs, concept reviews, post-release metric reviews — and embedded AI into designers' routines. Details by section below.

Entry point: My MTS mid-transformation

Task

In May 2024 I was brought into My MTS to build a transparent process for embedding products into the company's flagship B2C storefront. Five separate businesses — Fintech, LIVE, Telecom, KION, Shop — compete for entry points in a single app, and the teams need to know ahead of time who slots in where over the coming quarters, why, and how it won't break the logic of the next integrations. On top of that, raising the cross-functionality of the unit's own products.

By that point My MTS held tens of millions of MAU and millions of DAU, a product org of around 200 people, and more than 30 ecosystem products inside. By Markswebb's benchmark it ranked among the top ecosystem apps in Russia, alongside Sberbank Online.

Approach

The framing task: bring My MTS to the state of a flagship B2C ecosystem platform. The storefront stays central — it's the surface where the company assembles cross-product interaction across its whole ecosystem reach. Inside it, five separate businesses (Fintech, LIVE, Telecom, KION, Shop) embed by the same rules, with no historical priority for telecom as the "landlord." In parallel I had to stand up a design function where there wasn't really one: voice, the family group with geo-search, savings, the unified complaints center. I came in thinking I'd have it figured out in six months; in reality the first months went to mapping the territory and the politics between businesses, not to design.

I was hired for the "team as a product" angle: unit structure, team assessment, internal community, a public voice to the outside. On top of that I handled targeted hiring through my own network — people who had worked with me before or whom I knew from the industry. AI layered onto that foundation over the last two years.

~200 people in the My MTS org
>30 ecosystem products in the app
5 businesses on one storefront

The voice ecosystem — the main focus

Posters · 4
01 / 04
Task

This was my main focus for all 14 months. The intersection of AI and telecom, and it hooked me from day one. Coming in, the team already had Raf (mid-level designer) and Zhenya Mukhurov (senior), but no art director and no clear design function. I hired Mark as art director for voice; later we added Alina from his previous team.

Approach

What mattered most in this period was rhythm. We met often as a whole team: design, PMs, engineering. We pitched new ideas, reviewed concepts and approaches, and after releases we looked at the metrics and talked through what worked and why. We built product interest across the whole team, not just the people drawing screens. Discovery for new products ran on open-data analysis and neural nets, without a classic UX panel — faster and cheaper, and we had an annual plan to hit.

Then came the launches. Across 2024–2025 the team shipped eight public steps in the voice and anti-fraud ecosystem. From "Zashchitnik" (anti-spam with a voice bot) and a smart caller ID to AI noise cancellation, which MTS announced as a market first for mobile voice calls. Plus a separate track around "I don't want to — or can't — take a voice call": Call Recording, MTS Secretary, and "Call to Chat," where the Secretary reads typed text aloud to the caller.

  1. 23.01.2024
    Zashchitnik
    Anti-spam app: forwarding to a voice bot and transcription
  2. 20.08.2024
    Smart caller ID
    Big Data marks calls with three colors
  3. 05.09.2024
    Voice via Yandex Station
    Pilot with the Yandex ecosystem
  4. 16.10.2024
    Zashchitnik for other carriers
    Blocking + AI bot for non-MTS subscribers
  5. 24.10.2024
    Safe Call
    AI warns about fraud during the call
  6. 16.07.2025
    Call Recording
    Auto-recording and transcription of calls (beta)
  7. 20.08.2025
    Call to Chat
    Secretary reads typed text to the caller
  8. 08.10.2025
    MTS AI Secretary
    Voice answering machine with transcription and actions
  9. 24.10.2025
    AI noise cancellation
    A market first for mobile voice
← swipe to see every launch →
CALL RECORDING — LANDING
RECORDING — CONNECTED
RECORDING — STATE 3
CALL SUMMARY
SUMMARY — VARIANT 2
Result

By 2024–2025 the MTS voice ecosystem is no longer a single feature but a connected set: an anti-spam perimeter (Zashchitnik + smart caller ID + blocking for subscribers of other carriers), in-call anti-fraud (Safe Call), a pilot with Alice via the Yandex Station, call recording and transcription, a voice answering machine, and infrastructure-level AI noise cancellation. I personally kept a hand on every release, from concept to public launch.

DSU: team and process

Task

Eight teams, six design leads, three art directors, 40+ designers. Plus researchers and communication designers in My MTS. On My MTS the art director is Katya Kurch — she holds her ground with confidence and doesn't need help there. With her I mostly worked on the seams between My MTS and the embedded products. On the other tracks it varied: some had a team but no art director, some not even a lead — so interviews and product work ran in parallel.

Approach

I introduced a 1-on-1 template with every designer: getting to know them, walking the competency map, syncs, growth goals. I used the same map for the quarterly team assessment — a growth plan for each person, not a one-off onboarding checkbox.

The internal community rested on design reviews inside teams — weekly, sometimes biweekly when there were no topics or people were swamped. Attendance was optional, but designers showed up on their own: they brought work before prod, picked up advice, borrowed ready solutions from neighbors, and told the design system what was missing. The lead ran the review; for me it was a litmus test of motivation, engagement, and way of thinking — the kind of thing no report shows.

I launched a discovery process: the PM describes a feature with its corner cases, the designer builds a solution on top. We cleaned up the handoff to engineering. Before me, developers pulled mockups straight from drafts; now only from a prepared space. I didn't get budget for additional art directors, so some products — voice before Mark arrived, savings, the family group — I had to art-direct myself, right alongside the leads.

8 teams in the unit
40+ designers
6 + 3 design leads and art directors
Result

It was a hard year: some tracks were winding down, hiring was limited. When products were shut down, I reassigned designers within the function to keep people inside the ecosystem.

Cross-product integration in My MTS

Task

More than 30 ecosystem products are embedded in My MTS: some with full functionality, some partial. Every new service that wanted to embed dragged in its own UX and its own entry point, and the single flow fell apart. The transformation's main KPI, "ecosystem engagement," was met above plan by the end of Q3 2024.

Approach

In practice I didn't build a parallel process of my own — I embedded design into the existing product framework. At the QBR we reconciled the five businesses' priorities against the actual plan; cross-cutting reviews surfaced decisions that broke neighbors; cross-team working groups sorted out specific integrations. My job was to seat design leads at each of these tables as equal participants, not as service staff, and to hold the single My MTS flow together on top of other teams' product decisions: unified navigation, aligned entry points, shared payment and notification flows. For cross-product launches we ran joint hackathons — that format came from me.

We moved the My MTS structure to a platform model: Product Teams, Business Teams (contributor businesses), Inner Source, QBR, Platform Team. A release every two weeks. Roughly a third of the backlog went to core-scenario improvements, the rest to new features and integrations. The agreements didn't always hold: some businesses renegotiated along the way, and we reworked part of the integrations a second time.

hrs → min switch to a converged tariff
×2+ home conversion for non-subscribers
×3+ conversion into shop.mts from the app
>30 ecosystem products in My MTS
Result

A few specific stories that show the character of the effect. After the tariff catalog redesign, conversion to activation rose noticeably and support load dropped. Switching to a converged tariff went from hours to a minute. Quick Complaint rolled out to dozens of regions and cut response time by more than half. On the home screen, conversion of non-subscribers into telecom and MNP grew several times over. The shop.mts integration multiplied conversion into store search. Some of the exact conversions and metrics I can't publish under NDA — happy to walk through them in a conversation.

Family group and MTS.GeoSearch

Posters · 4
01 / 04
Task

The family group service in My MTS: a shared profile, roles (adult, child, senior), location of loved ones, shared balance and packages. Earlier the unit had a version called "Who's Where." During my period the team took the product to a socially significant partnership.

Approach

Together with the team we launched MTS.GeoSearch — a service for finding missing people by MTS geolocation, in a public partnership with LizaAlert. We split the family-group loop for everyday scenarios (parents see their kids, shared balance) from the GeoSearch loop for critical situations (data handover on a LizaAlert request). Privacy took work: at first the team wanted everything in one interface, but legal and ethical boundaries didn't allow it.

FAMILY — ENTRY IN MY MTS
FAMILY GROUP INTERFACE
ORGANIZER PROFILE
GEO-ZONES — EMPTY STATE
Result

MTS.GeoSearch launched on June 2, 2025. The family group keeps evolving: organizer profile, role model, geo-zones, shared payment.

MTS Savings

Task

MTS's savings product, embedded in My MTS. Essentially an account earning yield off a line of digital bonds. We launched it during my period. The goal was simple: let the user save right inside the telecom app, with no banking interface and no five-minute forms.

Approach

Onboarding in 30 seconds. The application pulls through Gosuslugi — no forms, no passport scan, no waiting for approval. Open it, agree, start saving.

100 ₽ minimum. One of the lowest thresholds on the savings-account market. Psychologically it's "worth a try," not "you need to accumulate capital."

Bank-grade yield, without a bank. 16.5% annual at launch — on par with top bank savings accounts of that period. The product runs on MTS digital bonds: for the user it's the familiar savings-account mechanic, for the carrier it bypasses classic banking infrastructure.

UI without noise. The home screen shows the large earnings figure, two actions (Withdraw and Top up), and a "how much will I earn" calculator. The calculator became the product's most visited screen: people opened it before even opening an account, playing with numbers and terms. That "proxy page" strongly lifted conversion from view to real top-up.

16.5% yield at launch
100 ₽ account minimum
Gosuslugi seamless onboarding
HOME — BALANCE AND YIELD
YIELD CALCULATOR
RATE 16.5%
TOP-UP METHODS
Result

The product stuck: after I left, Savings keeps growing and evolving and is among the top financial services in the My MTS ecosystem. The yield stays in the bank savings-account range, the account minimum is still 100 ₽ — meaning the base mechanic we set at launch held and wasn't rebuilt.

AI in the DSU design process

Task

In 2024–2025 I steadily embedded AI tools into designers' routines. The stack came together like this: KREA.AI and Cinema 4D for illustration, Claude and Cursor for text and code, custom Figma plugins for pipeline tasks like naming, export, and asset conversion. Some of it landed easily, some grudgingly: senior designers first looked at it as a toy.

Approach

To keep it from staying a slogan, I led by example: I built the "Convert" plugin for the routine of preparing assets for content managers — designers used to spend 20–80 minutes per iteration, 4–6 times a month (renaming, converting to JPG/AVIF/WEBP, checking file weight, packing into a zip; plus naming errors and passing the buck), and after the plugin, 1–2 minutes. I showed the team how I did it and why — that's what got them going. We set up an internal sharing group: findings, tips, solution walkthroughs.

From there vibe coding spread in a wave. Building on that, one of the designers — in 8 hours, with no coding background — used Cursor with Claude to build a prototype Cinema 4D plugin that generates system 3D icons in MTS brand style in a few clicks. The author framed the goal like this: simplify and speed up icon creation and make it accessible even to people who had never opened Cinema 4D, so that every icon comes out in one consistent style — the same lighting and materials, with no hand-tuning per scene.

The plugin is triggered with M + T: it loads a base scene with SVG icons already in place; the designer picks an icon, a material, a lighting type, and a rotation angle, sets the save path and file name, hits "Render" — and out comes a finished 3D icon in brand style. After that, assets for the home screen and banners were made in-house by the designers themselves, with nothing handed off to an outside agency. From there the team started spotting its own routines to automate.

In parallel I got into the A/B tests on the mts.ru home page: clean graphics versus graphics with captions. Captions gave a multiple lift in engagement, and the team had to be retrained on the new creative rules.

What helped

It was specifically a prototype, to validate the technology: can the pipeline "SVG icon → 3D render in brand style" be automated by a single designer at all. Confirmed: yes, and it's efficient. Next on the plan were expanding the library of materials and rotation angles, batch rendering whole sets, and hooking the plugin up locally — via a chatbot or straight from Figma — which we didn't get to.

20 → 1 minutes per image iteration
8 h plugin prototype from scratch
~50% of the team use AI across several tasks
M + T plugin trigger hotkey
CONVERT · DEMO
C4D PLUGIN · INTERFACE
Result

Iterating a single image dropped from 20 minutes to one. A noticeable share of communication-asset spend came back in-house. Over the quarter, dozens of routine tasks sped up several times over. An internal survey at the end of 2024 showed that half of DSU designers had already embedded AI into at least a few task types — that's tool adoption, not a one-off experiment.

Outside the team

Task

Beyond the work inside the DSU, I published and spoke — about how we set up the team, how we keep 150 people in sync, how we embed AI into the design process. That's the part of my job as a manager that does hiring without recruiters: after GPN and MTS, former colleagues regularly write to ask where I've landed, wanting to follow.

Open to offers

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