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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.
How we work
How we start, how we move, where decisions get made — we keep the process transparent.
RHYTHM
Every sprint, a measurable outcome.
01
Every engagement starts on the same discipline: clear intent, short cycle, measured outcome.
01
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
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
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
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
Discipline shows up not only in what we do, but in what we refuse to do.
02
Three core models — they differ by scope, duration, and pricing approach.
01
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
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
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.
03
Each layer has its own rhythm; all of them share the same sprint discipline.
01
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
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 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
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
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
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 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
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
We unpack a typical 4-week sprint, one week at a time.
Week 0
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.
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Week 1
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.
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Week 2
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.
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Week 3
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.
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Week 4
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
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Who decides what, how escalation works, the weekly review ritual.
01
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
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
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
Map goals and constraints, understand the existing stack.
Ship the first module live, iterate against metrics.
Scale operations, hand off to teams, ongoing partnership.
case example
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 studiesfrom 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
Let's find the layer that fits your need and map where the architecture begins.
We bring the systems — and the products — already built for it, ready to run, not just to pitch.