Multi-Step Calculator Development on 1C-Bitrix

Our company is engaged in the development, support and maintenance of Bitrix and Bitrix24 solutions of any complexity. From simple one-page sites to complex online stores, CRM systems with 1C and telephony integration. The experience of developers is confirmed by certificates from the vendor.
Showing 1 of 1All 1626 services
Multi-Step Calculator Development on 1C-Bitrix
Medium
~1-2 weeks
Frequently Asked Questions

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1358
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    947
  • image_bitrix-bitrix-24-1c_development_of_an_online_appointment_booking_widget_for_a_medical_center_594_0.webp
    Development based on Bitrix, Bitrix24, 1C for the company Development of an Online Appointment Booking Widget for a Medical Center
    694
  • image_bitrix-bitrix-24-1c_mirsanbel_458_0.webp
    Development based on 1C Enterprise for MIRSANBEL
    830
  • image_crm_dolbimby_434_0.webp
    Website development on CRM Bitrix24 for DOLBIMBY
    732
  • image_crm_technotorgcomplex_453_0.webp
    Development based on Bitrix24 for the company TECHNOTORGKOMPLEKS
    1075

A user opens a form with 15 fields and closes it after 10 seconds — conversion drops. A multi-step calculator splits the survey into screens of 2–3 questions with a progress bar. We implement such solutions on 1C-Bitrix: we design scenarios with branching, implement AJAX calculation, and integrate with CRM. The result — lead conversion grows by 30–50% compared to single-page forms. According to Nielsen Norman Group, multi-step interfaces increase usability by 30%. In our A/B tests, a multi-step form converts 1.5 times better than a regular one for the same target audience.

Problems we solve

  • High abandonment on long forms. When a user sees 15 fields, they leave. Our calculator shows 1–3 questions per step — cognitive load decreases, and completion rate increases. Budget savings on lead generation reach 40%.
  • Complex scenarios with skips. Services depend on choices: if a client selects "delivery", we hide the "self-pickup" step. We implement conditional transitions via JSON configuration. ROI — less than 3 months.
  • Data loss. If you close the tab — progress vanishes. We embed saving in localStorage with automatic restoration within 24 hours.

How to implement step branching?

Calculator steps aren't just pages. They're a graph: some steps are skipped depending on previous answers. For example, if on step 2 the user selects "individual" — step 3 with company details is skipped.

Storage of step configuration — JSON or HL-block CalculatorSteps:

{
  "steps": [
    {
      "id": "service_type",
      "title": "What are you interested in?",
      "type": "single_choice",
      "options": [
        { "value": "moving", "label": "Moving" },
        { "value": "storage", "label": "Storage" },
        { "value": "both", "label": "Moving + Storage" }
      ]
    },
    {
      "id": "area",
      "title": "Room area",
      "type": "range_slider",
      "min": 20, "max": 500, "step": 10, "default": 60,
      "unit": "m²",
      "condition": { "field": "service_type", "operator": "in", "value": ["moving", "both"] }
    },
    {
      "id": "contacts",
      "title": "Where to send the estimate?",
      "type": "contact_form",
      "fields": ["name", "phone", "email"]
    }
  ]
}

Frontend: managing steps with JavaScript

class MultiStepCalculator {
    constructor(config) {
        this.steps    = config.steps;
        this.answers  = {};
        this.history  = [];
        this.currentStepIndex = 0;
    }

    getCurrentStep() {
        return this.steps[this.currentStepIndex];
    }

    next(answer) {
        const step = this.getCurrentStep();
        this.answers[step.id] = answer;
        this.history.push(this.currentStepIndex);

        let nextIndex = this.currentStepIndex + 1;
        while (nextIndex < this.steps.length) {
            if (this.checkCondition(this.steps[nextIndex].condition)) {
                break;
            }
            nextIndex++;
        }

        if (nextIndex >= this.steps.length) {
            this.submit();
        } else {
            this.currentStepIndex = nextIndex;
            this.render();
        }

        this.updateProgress();
    }

    back() {
        if (this.history.length === 0) return;
        this.currentStepIndex = this.history.pop();
        this.render();
        this.updateProgress();
    }

    checkCondition(condition) {
        if (!condition) return true;

        const value = this.answers[condition.field];
        switch (condition.operator) {
            case 'eq':  return value === condition.value;
            case 'in':  return condition.value.includes(value);
            case 'gt':  return parseFloat(value) > parseFloat(condition.value);
            case 'not': return value !== condition.value;
            default:    return true;
        }
    }

    updateProgress() {
        const visible = this.steps.filter((_, i) =>
            i <= this.currentStepIndex || this.checkCondition(this.steps[i]?.condition)
        );
        const pct = Math.round((this.currentStepIndex / (this.steps.length - 1)) * 100);
        document.getElementById('progress-bar').style.width = pct + '%';
        document.getElementById('progress-text').textContent = `Step ${this.currentStepIndex + 1} of ${visible.length}`;
    }

    async submit() {
        const resp = await fetch('/ajax/calculator/multistep/submit/', {
            method: 'POST',
            body: new URLSearchParams({
                answers: JSON.stringify(this.answers),
                sessid: BX.bitrix_sessid(),
            }),
        });
        const result = await resp.json();
        this.showResult(result);
    }
}

Why does a multi-step calculator increase conversion?

According to A/B tests, multi-step forms convert on average 30–50% better than single-page alternatives. The reason is psychological: each step is small, and it's harder to quit halfway through than to abandon one big form. The progress bar motivates completion, and branching makes the scenario personalized. For the company "Pereezd Servis", we implemented an 8-step calculator with branching on service type — conversion increased from 2.5% to 5.8% in one month.

Server-side calculation: from answers to results

namespace MyProject\Controllers;

use Bitrix\Main\Engine\Controller;

class MultistepCalculatorController extends Controller
{
    public function submitAction(string $answersJson): array
    {
        $answers = json_decode($answersJson, true);
        if (!$answers) {
            $this->addError(new \Bitrix\Main\Error('Invalid data'));
            return [];
        }

        $required = ['service_type', 'area'];
        foreach ($required as $field) {
            if (!isset($answers[$field])) {
                $this->addError(new \Bitrix\Main\Error("Field not filled: {$field}"));
                return [];
            }
        }

        $calcResult = \MyProject\Services\MovingCalculator::calculate($answers);

        $leadId = \MyProject\Services\CrmService::createLeadFromCalculator(
            $answers['name'] ?? 'Not specified',
            $answers['phone'] ?? '',
            $answers,
            $calcResult
        );

        return [
            'result'  => $calcResult,
            'lead_id' => $leadId,
        ];
    }
}

Progress saving and analytics

Auto-saving to localStorage with staleness protection:

saveProgress() {
    localStorage.setItem('calc_progress', JSON.stringify({
        answers:      this.answers,
        stepIndex:    this.currentStepIndex,
        savedAt:      Date.now(),
    }));
}

restoreProgress() {
    const saved = localStorage.getItem('calc_progress');
    if (!saved) return;

    const data = JSON.parse(saved);
    const ageMs = Date.now() - data.savedAt;
    if (ageMs > 24 * 60 * 60 * 1000) {
        localStorage.removeItem('calc_progress');
        return;
    }

    this.answers      = data.answers;
    this.currentStepIndex = data.stepIndex;
    this.render();
}

Every step transition is recorded in analytics — the funnel shows where users drop off. If 70% quit at step 3 — it's too complex or irrelevant.

Process and timelines

  1. Requirements analysis — identify logic and branching conditions.
  2. Scenario design — draw a graph of steps with transitions.
  3. Layout and frontend — create responsive templates for each question type.
  4. Backend and calculation — write PHP controllers with validation and integration.
  5. Integration — connect CRM (Bitrix24, amoCRM), 1C, payment gateways.
  6. Testing — verify all branches and calculation correctness.
  7. Deployment and documentation — deploy to server, write instructions.
Calculator type Timeline
Linear, 3–5 steps 1–2 weeks
With branching and AJAX 3–5 weeks
Complex configurator (10+ steps) 6–10 weeks

Comparison of multi-step and regular form

Criterion Regular form Multi-step calculator
Fields per screen 10–15 2–3
Progress bar No Yes
Branching No Yes
Conversion Baseline +30–50%

What's included

  • Business logic analysis and step graph creation
  • Design and responsive layout for all states
  • Backend on PHP (Bitrix ORM, components 2.0)
  • CRM integration (Bitrix24, amoCRM) and 1C via CommerceML
  • Payment system integration (YooKassa, Sber) and delivery services (CDEK, Russian Post)
  • Progress saving in localStorage
  • Analytics (Yandex.Metrica, Google Analytics)
  • Testing of all scenarios and branches
  • Documentation and staff training
  • 1 month warranty support

Why work with us

Over 10 years of development experience on 1C-Bitrix, more than 300 successful projects. Certified specialists. Result guarantee — we fix conversion metrics in the contract. ROI on a multi-step calculator often less than 3 months due to conversion growth.

A multi-step calculator is the most effective format for complex services. It reduces cognitive load, increases engagement, and gives marketers data about each decision stage — what exactly prevents the user from reaching a lead.

Order a custom multi-step calculator development — get conversion up to 50% higher than regular forms. Leave a request for an estimate. Contact us to discuss details and get a personalized timeline and cost. Multi-step calculator turnkey with conversion growth guarantee.

1C-Bitrix on Wikipedia

1C-Bitrix Module Development and Setup

The main trap of Bitrix is init.php. You add an OnBeforeIBlockElementUpdate handler there, then another one — a year later the file is 2000 lines, and on every hit all that code executes. We move business logic into full-fledged modules with D7 ORM, custom tables, and administrative interface. The module can be disabled, transferred to another project, covered with tests — none of that is possible with init.php. Our team has 10+ years of Bitrix experience, certified specialists, and a 6-month code guarantee. Request a consultation — we'll explain how to migrate legacy code to a modular architecture.

Why is init.php the worst place for business logic?

Init.php does not support class autoloading, lacks an isolated namespace, cannot be unit tested, and cannot be disabled without editing the file itself. Every handler written there runs on every request, even if not needed. In a module, you register handlers through EventManager, and they only execute when the event occurs. Performance difference: up to 3x with 10+ handlers.

Standard Modules: Typical Problems and Solutions

Information blocks. IBlock architecture is the first thing we review on any project. A classic mistake: one catalog infoblock with 80 properties, 30 of which are multiple. The b_iblock_element_property table swells to millions of rows, and CIBlockElement::GetList with filtering on three properties does a full scan. We move reference data to Highload-blocks, eliminate multiple properties where possible, and design the structure for 5x growth.

e-Store (sale). Cart business rules are a separate story. We set discount priorities to prevent two campaigns from giving 60% instead of 30%, connect payment handlers, and write custom validation via OnSaleOrderBeforeSaved.

Search. The built-in search module with morphology works up to 10–15 thousand elements. Beyond that — Elasticsearch. We configure it via the Bitrix search module API, indexing through CSearchFullText or custom indexers.

Highload-blocks for dictionaries, logs, user data — instead of bloated IBlocks. Direct queries via Bitrix\Highloadblock\HighloadBlockTable, custom tables instead of the EAV structure of standard infoblocks. A million records — no degradation.

Mail events. Configuration is not just templates in b_event_message. The key is SPF, DKIM, DMARC on the DNS, otherwise transactional emails go to spam. We check deliverability and set up bounce handling.

How to Design Infoblocks for Performance?

We use Highload-blocks for reference data (colors, sizes, manufacturers) that are not involved in complex queries. For SKUs — a separate infoblock with linking via IBLOCK_ELEMENT_PROPERTY. Enable INDEX_PROPERTY for frequently filtered properties. Tagged caching: when an element changes, only the related cache is cleared. Highload-blocks process up to 10x faster than infoblocks with multiple properties on volumes of 100,000 records.

Custom Module Development

Each module follows the structure /local/modules/vendor.modulename/:

  • install/index.php — setup class, create tables via $DB->RunSQLBatch()
  • lib/ — D7 ORM classes, extending Bitrix\Main\ORM\Data\DataManager
  • admin/ — administrative pages using CAdminList, CAdminForm
  • include.php — autoloading, event handler registration via EventManager::getInstance()->registerEventHandler()
  • REST API endpoints via \Bitrix\Rest\RestManager

The module registers in the system, appears in the "Installed Solutions" list, and has its own settings at /bitrix/admin/settings.php?mid=vendor.modulename. It can be enabled, disabled, and updated through UpdateSystem or custom migration mechanics.

Examples of implemented tasks:

  • Campaign management — visual condition builder via CAdminCalendar, timers via agents (CAgent::AddAgent), analytics linked to the sale module
  • Cost calculator — React widget on the frontend, REST API in the module, formulas stored in a Highload-block
  • Booking system — real-time calendar, locking via $DB->StartTransaction() / $DB->Commit() on concurrent requests, integration with channel manager via webhook

Components and Composite Cache

Component customization via result_modifier.php and component_epilog.php, not by editing template.php of the standard template. This way core updates are painless.

Composite cache ("Composite Site" technology) — the server sends ready HTML, bypassing PHP routing. Dynamic areas (cart, authorization) are loaded via CBitrixComponent::setFrameMode(true) and AJAX. TTFB drops to 30–50 ms. But there are caveats: not all components are compatible, $APPLICATION->ShowPanel() breaks composite, and careful markup of <div id="bx-composite-..."> is required.

What to Check Before Installing a Marketplace Module?

Before installing a module from the marketplace, an audit is mandatory. We check: SQL queries without prepared statements (hello SQL injection), direct use of $_REQUEST without filtering, use of outdated kernel API instead of D7, conflicts with the composite cache module. A module with no updates for over a year and a few dozen installations is likely a problem on the next PHP update. A typical case: a module calls CIBlockElement::GetList with no cache reset — the site crashes with 5000 elements.

Migration to D7

When upgrading PHP or switching to a new edition — refactor outdated calls:

  • CIBlockElement::GetList()Bitrix\Iblock\Elements\ElementTable::getList()
  • CSaleOrder::GetList()Bitrix\Sale\Order::getList()
  • CModule::IncludeModule()Bitrix\Main\Loader::includeModule() Testing on staging, rollback via git on issues.

According to official 1C-Bitrix documentation, D7 ORM is the recommended tool for working with data, providing type safety and automatic query generation.

Comparison: Init.php vs Module

Criterion Init.php Module with D7 ORM
Performance Executes on every hit Executes only on event
Testability No autoloading, tests impossible Full PHPUnit support
Maintainability Codebase grows uncontrollably Isolated structure, versioning
Migrations None Custom tables, managed via install
Caching Does not support auto-invalidation Tagged caching, event-based clearing

Module Development Scope and Cost

What is included in module development?

  • Technical specification and architectural plan
  • Code following PSR-4 and Bitrix code style
  • Unit tests (PHPUnit) for business logic
  • Integration tests for events and REST API
  • Installation, configuration, and API documentation
  • Repository and documentation access
  • Administrator training for module usage
  • 6-month warranty support

Estimated timelines and complexity:

Complexity Examples Timeline
Simple Callback widget, banner system, simple calculator 3–5 days
Medium Booking system, product configurator, review module with moderation 1–2 weeks
Complex Multi-regionality, custom loyalty program, ERP integration 2–4 weeks
Enterprise Marketplace platform, complex business processes with multiple roles 1–3 months

Cost is calculated individually — contact us for a project estimate.

Module Testing

Unit tests via PHPUnit cover business logic: discount calculation, validation, document generation. Mocks for Bitrix\Main\Application::getConnection() allow tests to be DB-independent. Integration tests verify event handlers on a real database — OnAfterIBlockElementAdd, OnSaleOrderSaved, etc. REST API endpoints are tested via curl or PHPUnit HTTP client. Critical for modules working with b_sale_order, b_catalog_price — where errors cost money.

Compatibility is checked on PHP 7.4, 8.0, 8.1, 8.2 and editions: Standard, Small Business, Business. We check conflicts with popular marketplace modules — they often intercept the same events. Load testing: measurements on 10K, 100K, 1M records, profiling via Xdebug for memory leaks and N+1 queries.

Practical Examples

Campaign module for an electronics chain. The built-in sale module discounts did not cover scenarios like "2+1", a gift with purchase over a certain amount, or combined conditions. We built a visual builder: marketers create rules via drag-and-drop without development tickets. Campaign calendar, auto-deactivation via agents, analytics linked to b_sale_order — conversion, average check, usage count. Time to launch a new campaign dropped from two days to half an hour.

Calculator for builders. Parameters (area, materials, number of floors) → formula → preliminary estimate → lead to CRM via CRest::call('crm.lead.add'). Regional coefficients and seasonal markups from a Highload-block, material prices from 1C exchange. The number of target leads increased by a third: clients see a breakdown before calling a manager.

Booking for a hotel chain. Real-time availability via AJAX requests to a custom table vendor_booking_slots, seasonal tariff calculation, synchronization with Booking.com via channel manager API. Room locking on concurrent booking via SELECT ... FOR UPDATE in transactions. Timezones handled via \DateTimeZone — a guest from Vladivostok and a manager from Moscow see the same picture.

We will evaluate your project within one day. Write to us — we'll tell you what is included in turnkey development. Contact us for a consultation on your project. Order a custom module development — get a ready solution with documentation and support.