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How we work

Sprint discipline. Measurable outcomes.

How we start, how we move, where decisions get made — we keep the process transparent.

Layered abstract geometry — a rhythmic composition representing sprint discipline

RHYTHM

Every sprint, a measurable outcome.

01

Operating principles

Every engagement starts on the same discipline: clear intent, short cycle, measured outcome.

01

Sprint discipline

All work is organized in 2–4 week sprints. Every sprint closes with a visible output, a decision input, and a clearly scoped next sprint on the table.

02

Transparency

Plan, progress, blockers, and decisions live in a shared Linear / Notion workspace. The client can drop in any time; the weekly review formalizes the rhythm.

03

Joint decision-making

RACI is explicit: who is consulted, who approves, who executes. beynart recommends; the product or business decision always sits at the brand's table and is captured in writing.

04

Measurable goals

At each sprint kick-off, we pick 1–3 KPIs and capture a baseline. We re-measure at sprint close; the decision feeds from that delta, not gut feel.

What we don't do

Where we draw the line

Discipline shows up not only in what we do, but in what we refuse to do.

  • One-shot strategy decks or reports delivered without follow-through
  • Big-bang launches without a tested rollback plan or migration safety net
  • Hourly subcontracting where we don't own the process or the outcome
  • Creative campaigns without a data-supported hypothesis behind every design call
  • Closed-source delivery that creates vendor lock-in — code and docs always live in your organization

02

Engagement models

Three core models — they differ by scope, duration, and pricing approach.

  • 01

    Sprint engagement

    Duration
    4–12 weeks
    Pricing
    Fixed scope, fixed price

    A time-boxed engagement to answer a specific question or ship a concrete output. Typical use: brand audit, MarTech audit, MVP module, migration plan, AI workflow library. We close with documentation; the next phase can roll into a retainer or stand alone.

    Fit

    There is a clear goal, scope is freezable, and you need an outcome inside 3 months.

  • 02

    Retainer

    Duration
    Monthly continuing, typically 6–12 months
    Pricing
    Monthly fixed, predictable budget

    The model where we own the ongoing operation. Typical for MarTech operations, brand retainer, platform on-call, or strategic advisory. Each month opens with a priority set and target KPI; closes with a written report. Team size scales with need: 1.5 FTE to 4 FTE.

    Fit

    An ongoing discipline, an extension of in-house capacity, continuous evolution.

  • 03

    Partnership

    Duration
    Annual frame, quarterly refresh
    Pricing
    Master agreement + sub-package pricing

    A multi-track engagement spanning more than one layer. Strategy + MarTech + custom software run as parallel streams under one master agreement. Quarterly leadership review, annual planning, pricing frame renews. One frame, one roadmap, shared P&L visibility.

    Fit

    You're looking for a long-term partner across the full transformation surface.

Layered abstract geometry — a rhythmic composition representing sprint discipline

03

How we work across four layers

Each layer has its own rhythm; all of them share the same sprint discipline.

  • 01

    Strategy & Insight

    The strategy layer connects data to live operations. The first sprint produces Discovery + a strategy doc (4 weeks). A 12-week second package ships the warehouse, first dashboards, and an AI model. After that, monthly partnership: experiment outcomes, segment performance, budget allocation captured in a decision document. Decision time typically drops from 6 months to 2–4 weeks; MER lifts 30–60%.

    Typical sprint count

    1 (4 weeks) → 3 sprints (12 weeks) → ongoing partnership

    Critical decisions

    • — Segment selection (leadership sign-off)
    • — Data warehouse decision (CTO + CMO joint)
    • — Which assumption gets tested by which experiment

    Sample deliverables

    Current-state report, segment hypotheses, strategy doc, dbt warehouse + 4–6 BI dashboards, 1–2 AI prediction models, experiment list, monthly review ritual.

  • 02

    Brand & Experience

    Brand work runs as a four-phase programme. The audit maps the existing identity, competitors, and internal perception. Phase two is a two-day leadership workshop — purpose-positioning-promise becomes a decision. Phase three builds the design system as a Figma library, not a static PDF — a living repository. Phase four: channel rollout + 90-day performance review. Unit margin lifts 15–40% per category; production velocity increases 10×.

    Typical sprint count

    Refresh: 4–6 weeks · Full identity: 10–14 weeks · Retainer: monthly

    Critical decisions

    • — Repositioning vs refresh (after the audit report)
    • — Naming / sub-brand architecture (workshop)
    • — Component library scope and token architecture

    Sample deliverables

    Brand audit report, brand brief (the constitution), Figma component library (60–120 components), design token package, motion principles + Lottie samples, website rebrand, social templates, 90-day KPI report.

  • 03

    MarTech & AI Operations

    The MarTech stack is out of control at most companies — 18–25 tools, 4–6 invoices, none of them fully talking. After the audit we typically take 18 tools to 9. Server-side tracking recovers post-iOS-14.5 lost data. We embed AI inside the operation, not as a chat window: customer interview synthesis, content drafts, sales sequencing, ticket triage. Manual hours drop 30–50%; stack cost falls 25–40% over 12 months.

    Typical sprint count

    Audit: 4 weeks · Setup: 12–16 weeks · Retainer: monthly (typically 6–12+ months)

    Critical decisions

    • — Stack rationalization (CTO + CMO joint)
    • — CDP / warehouse / reverse-ETL choice
    • — Human-in-the-loop approval boundaries for AI workflows

    Sample deliverables

    Stack inventory, target architecture document, server-side tracking + Conversion API, 6–10 primary integrations, CDP + identity resolution, 8–12 production AI workflows, approval/log panel, KVKK / GDPR data inventory and consent management.

  • 04

    Enterprise Systems

    Enterprise software follows a 6-phase discipline: discovery → architecture → MVP → migration → operate → scale. Each phase ships a concrete output; each transition starts with leadership sign-off. We use the strangler-fig pattern — instead of replacing the legacy system overnight, we modernize critical modules one by one. License cost drops 30–50%; critical business logic moves into TypeScript / Python services while the ERP stays as the system of record. All source code, infrastructure-as-code, and runbooks live in your GitHub organization — no vendor lock-in.

    Typical sprint count

    Build: 3–9 months · Modernization: 6–12 months · Platform retainer: 12+ months · Audit: 4–8 weeks

    Critical decisions

    • — Build vs buy (TCO + flexibility per process)
    • — Architecture decision (service boundaries, data model, API contracts)
    • — Cutover plan + rollback procedure

    Sample deliverables

    System inventory, architecture document (C4), API contracts, security + KVKK baseline, production-ready first module + CI/CD, Sentry + Grafana + Loki observability, data migration scripts, user training material, monthly SLA report, runbooks.

04

A sprint, week by week

We unpack a typical 4-week sprint, one week at a time.

  1. Week 0

    Prep and planning

    The short week before the sprint starts. Target KPI is selected, baseline is measured, scope freezes. A Linear epic opens; each day gets a time block, each deliverable an owner and a date. On the client side, a written RACI captures who participates in which decision.

    01 / 05

  2. Week 1

    Discovery and hypothesis

    Data collection, interviews, current-state mapping. The strategy crew runs interviews; engineering finishes the technical audit in parallel. By the end of the week we close the 'what we know / what we assume / what gets tested' grid. Findings hit the sprint canvas.

    02 / 05

  3. Week 2

    Design and build (phase 1)

    Discovery output becomes actionable design: the strategy doc draft, design system prototype, first integration code. Every design call is anchored to a hypothesis; every commit goes through code review. A stakeholder check-in happens mid-week; minor course corrections land inside the same week.

    03 / 05

  4. Week 3

    Build (phase 2) and QA

    The output is finished and enters the QA line. Engineering runs automation tests + manual smoke; design runs the a11y audit (Lighthouse + axe). On the client side, a pre-launch review reserves the last 24 hours for blockers. If something out-of-scope surfaces, it joins the next sprint's scope; this sprint still ships.

    04 / 05

  5. Week 4

    Review, hand-off, KPI

    Demo, documentation, KPI measurement, retro. Demo runs on the live system, no slides. Documentation sits in the repo (runbook, ADR, style guide). The target KPI is compared with the sprint-start baseline; the decision input is captured in writing. Retro covers both sides: what worked, what didn't, what changes for next sprint.

    05 / 05

05

Decision mechanics

Who decides what, how escalation works, the weekly review ritual.

  • 01

    Ownership via RACI

    At each sprint kick-off, the decision matrix is assigned: Responsible (executes), Accountable (approves — a named person, not a role), Consulted (gives input), Informed (kept in the loop). Both client and beynart sides are filled in clearly, with response-time expectations.

  • 02

    Weekly review ritual

    A 30-minute fixed agenda: progress (5 min), blockers (10 min), items needing a decision (15 min). If something can't close in the room, an owner is named on the async channel + 48-hour deadline. Each review leaves a 'decision log' line behind.

  • 03

    Escalation protocol

    Two stages: first, async between engagement leads (24 hours). If unresolved, leadership-level (client sponsor + beynart partner). A third stage triggers a formal contract review — used 1–2 times a year; if the process is healthy this rung stays empty.

phases

Three continuously evolving phases

Discovery

Map goals and constraints, understand the existing stack.

Build

Ship the first module live, iterate against metrics.

Scale

Scale operations, hand off to teams, ongoing partnership.

case example

From sprint to scale — the discipline compounds

Our case studies show the same discipline turning into concrete outcomes: teams that rationalized the stack and lifted MER, partners we scaled operations with after the first ship.

Explore case studies

from the process

Sprint discipline dropped decision time from weeks to days. Every sprint closes with a live system, a measured KPI and a written decision input on the table.

Ali Rıza Tuncer

Founder, beynart

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