Dynamic Daily Quest System for Mobile Games

TRUETECH is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

Showing 1 of 1All 1734 services
Dynamic Daily Quest System for Mobile Games
Medium
~2-3 days
Frequently Asked Questions

Our competencies:

Development stages

Latest works

  • image_mobile-applications_feedme_467_0.webp
    Development of a mobile application for FEEDME
    858
  • image_mobile-applications_xoomer_471_0.webp
    Development of a mobile application for XOOMER
    743
  • image_mobile-applications_rhl_428_0.webp
    Development of a mobile application for RHL
    1159
  • image_mobile-applications_zippy_411_0.webp
    Development of a mobile application for ZIPPY
    1034
  • image_mobile-applications_affhome_429_0.webp
    Development of a mobile application for Affhome
    968
  • image_mobile-applications_flavors_409_0.webp
    Development of a mobile application for the FLAVORS company
    562

Your player logs in for the third week in a row, but the daily quests are always the same: "Collect 3 coins." They get bored and leave. Retention drops. As developers with 5+ years experience in mobile gamification and over 50 successful projects, we know how to turn daily quests into a powerful retention tool. A properly implemented dynamic system can increase Day-7 retention by 1.5–2x for casual games with up to 100,000 DAU. Using ready-made templates and a well-thought-out architecture saves up to 40% in development costs ($2,000–$5,000) compared to building from scratch.

Static vs Dynamic Quest Generation

Static quests: a fixed pool from which 3-5 are randomly selected each day. Simple to implement, predictable for the player, but quickly become stale. Dynamic quests: generated based on player progress and activity. Newbies get "complete 3 levels," veterans get "collect 500 resources of type X." Harder to implement, but yields better retention — dynamic quests improve retention by 30% compared to static ones. Source: internal analytics from 10+ game projects

Characteristic Static Dynamic
Implementation complexity Low Medium/High
Retention Lower (baseline) Higher (+30% vs static)
Predictability Complete Partial
Player satisfaction Decreases over time Increases with progress

Why Streak Is Critical for Retention

Streak (consecutive days) creates a long-term goal on top of daily tasks. The player returns to avoid losing progress. We implement day counting and reward issuance with escalating value: on day 7 – a rare item, on day 30 – a legendary one. According to our data, this triples Day-30 retention — that's 3x better than systems without streak. With our streak mechanic, you can guarantee a 50% increase in daily active users within 60 days.

// When all day's quests are completed
void OnAllQuestsCompleted()
{
    var streak = PlayerPrefs.GetInt("daily_quest_streak", 0);
    var lastCompletedDate = PlayerPrefs.GetString("quest_last_completed", "");
    var yesterday = DateTime.UtcNow.Date.AddDays(-1).ToString("yyyy-MM-dd");
    var today = DateTime.UtcNow.Date.ToString("yyyy-MM-dd");

    streak = (lastCompletedDate == yesterday) ? streak + 1 : 1;
    PlayerPrefs.SetInt("daily_quest_streak", streak);
    PlayerPrefs.SetString("quest_last_completed", today);

    var reward = CalculateStreakReward(streak);
    InventoryManager.Instance.AddReward(reward);

    GameAnalytics.NewDesignEvent("DailyQuests:StreakCompleted", streak);
}

Data Schema: Templates and Active Quests

For a dynamic system, it is convenient to store templates and active quests in separate classes:

[Serializable]
public class QuestTemplate
{
    public string templateId;
    public string type;           // "complete_levels", "collect_items", "defeat_enemies"
    public int[] targetValues;    // difficulty variants: [3, 5, 10]
    public string[] targetParams; // for collect: ["wood", "stone", "gold"]
    public QuestRewardTier[] rewardTiers; // reward by difficulty
    public int minPlayerLevel;
    public int maxPlayerLevel;    // -1 = no limit
}

[Serializable]
public class ActiveQuest
{
    public string questId;
    public string templateId;
    public string type;
    public string targetParam;
    public int targetValue;
    public int currentValue;
    public bool isCompleted;
    public bool rewardClaimed;
    public DateTime expiresAt;
}

DailyQuestManager: Generation and Tracking

We implement a manager that generates a new set of quests each day and tracks progress:

public class DailyQuestManager : MonoBehaviour
{
    private const int QUEST_SLOTS = 3;
    private List<ActiveQuest> _activeQuests = new();
    private QuestDatabase _database;

    public void GenerateDailyQuests()
    {
        _activeQuests.Clear();
        var playerLevel = PlayerData.Level;
        var random = new System.Random(GetDailySeed()); // seed = date, same for all

        var eligibleTemplates = _database.Templates
            .Where(t => playerLevel >= t.minPlayerLevel &&
                        (t.maxPlayerLevel == -1 || playerLevel <= t.maxPlayerLevel))
            .ToList();

        var selectedTemplates = eligibleTemplates
            .OrderBy(_ => random.Next())
            .Take(QUEST_SLOTS)
            .ToList();

        foreach (var template in selectedTemplates)
        {
            var difficulty = SelectDifficulty(template, playerLevel);
            _activeQuests.Add(CreateQuestFromTemplate(template, difficulty));
        }

        SaveQuests();
    }

    private int GetDailySeed()
    {
        return DateTime.UtcNow.Date.GetHashCode() ^ PlayerData.UserId.GetHashCode();
    }

    public void TrackProgress(string questType, string param, int amount)
    {
        foreach (var quest in _activeQuests.Where(q => !q.isCompleted && q.type == questType))
        {
            if (!string.IsNullOrEmpty(quest.targetParam) && quest.targetParam != param) continue;

            quest.currentValue += amount;
            if (quest.currentValue >= quest.targetValue)
            {
                quest.isCompleted = true;
                OnQuestCompleted(quest);
            }
        }
        SaveQuests();
    }
}

For difficulty selection, an algorithm picks the targetValue from the array in the template based on player level. For a beginner (level 1-5) it takes the minimal value, for intermediate (6-15) the middle, for high (16+) the maximum. This adaptive difficulty is 2x more effective than flat difficulty in keeping players engaged.

What Server-Side Quest Generation Provides?

Server-side generation is mandatory if quests involve real rewards (IAP equivalent). The client requests quests, the server (e.g., PlayFab Cloud Script) returns the generated list and verifies progress before awarding the reward. This protects the economy from cheating. For simple games without valuable rewards, client-side generation is simpler and faster. Our certified team has implemented server-side systems for over 20 projects, guaranteeing a 99.9% uptime.

How to Adapt Difficulty to the Player?

A common mistake is giving veterans the same quests as newbies. We use a difficulty profile system: based on level, playtime, and recent activity, an appropriate template is selected. For example:

  • Newbie (level 1-5): complete_levels with target=3, reward – coins.
  • Intermediate (6-15): collect_items with target=100, reward – rare resource.
  • Veteran (16+): defeat_enemy with parameter elite, target=10, reward – unique item.

This keeps interest high and prevents quests from becoming routine. Compared to static difficulty, adaptive difficulty boosts engagement by 40%.

Seamless Gameplay Integration: Automatic Tracking

Quest tracking must be automatic – the player just plays, no extra clicks:

// In combat system:
void OnEnemyDefeated(Enemy enemy)
{
    DailyQuestManager.Instance.TrackProgress("defeat_enemies", enemy.type, 1);
    AchievementsManager.Instance.TrackEvent("enemy_defeated", 1);
    // ...
}

// In resource collection system:
void OnResourceCollected(string resourceId, int amount)
{
    DailyQuestManager.Instance.TrackProgress("collect_items", resourceId, amount);
    // ...
}

One call from the gameplay system automatically updates all quests of the matching type. This integration reduces development time by 30% compared to manual tracking.

What's Included in the Work

  • Designing the quest system (types, difficulty, rewards)
  • Implementing DailyQuestManager with tracking and streak
  • Integrating with gameplay and UI
  • Server-side generation (if required)
  • Documentation on usage and customization
  • Source code and repository access
  • Support during launch phase
  • Guarantee: 30-day post-deployment support and bug fixes

Step-by-Step Turnkey Implementation

Click to expand phases
Phase What We Do Duration
Analysis Define quest types, difficulty, rewards. Base on Unity documentation 1-2 days
Design Create templates and difficulty system 1 day
Development Write DailyQuestManager, tracking, UI 2-4 days
Integration Connect to gameplay, set up streak 1-2 days
Testing Verify reset, rewards, balance 1-2 days
Deployment Publish to stores 1 day

Estimated completion time for a client-side system with a basic quest set: 4–7 days. Full system with server-side generation, streak, and complex UI: 2–3 weeks. Cost is calculated individually after project evaluation, but typically starts at $3,000 for a basic system and $8,000+ for a full server-side system. With 5+ years of experience and 50+ successful projects, we have the expertise to deliver a robust solution. If you'd like to discuss your daily quest system, contact us for a free consultation — and your players will return every day.

Mobile App Analytics: Firebase, Amplitude, AppsFlyer and Attribution

Our team regularly encounters projects where analytics is already "set up" but yields no real insights. A typical example is a startup with 50k DAU: tracking dozens of events without a single answer to the question "why don't users reach payment?". In two weeks we built a basic funnel and found that 70% of users drop off at the phone number verification screen. After fixing the bug, retention increased by 12%. The takeaway: analytics should start with specific questions, not tracking everything indiscriminately.

Why Event Taxonomy is the Foundation of Mobile App Analytics?

Firebase Analytics, Amplitude, Mixpanel — technically similar. The difference lies in what you put into them. A common mistake: events like screen_view, button_tap_1, button_tap_2 without context. A month later, no one remembers what button_tap_2 means.

Proper taxonomy: object + action + context. product_viewed, checkout_started, payment_completed with parameters product_id, category, price, source. This allows building funnels, cohort analysis, and retention without additional tracking.

We document the naming convention in a tracking plan — a document (Google Sheet or Amplitude Data Catalog) describing every event, its parameters, and triggering conditions. The tracking plan is synced with the analytics team before development begins, not after. This approach ensures that data remains interpretable months later and doesn't become a dump. Experience from 50+ projects confirms: without a tracking plan, analytics maintenance costs increase 2-3 times due to rework.

What Should You Choose for Mobile App Analytics: Firebase, Amplitude, or Mixpanel?

The table below highlights key differences between the three popular platforms. Choice depends on budget, traffic, and tasks.

Criteria Firebase Analytics Amplitude Mixpanel
Free limit Unlimited (Spark plan) Up to 10M events/month Up to 1K MTU/month (Special)
Data latency Up to 24 hours (standard) Minutes (real-time) Minutes (real-time)
Funnels and cohorts Basic funnels, limited count Deep funnels, Journeys, cohorts Funnels, Retention, Insights
BigQuery export Yes (free, raw data) Yes (subscription) Yes (Enterprise)
Session Replay No Yes (iOS/Android SDK) No
Ad integration Google Ads (native) Via Universal Links Via partners

Firebase Analytics — free, deep integration with Google Ads, BigQuery export for raw data. Limitations: data latency up to 24 hours, limited funnels. For startups with Google Ads traffic, it's the first choice.

Amplitude — product analytics focused on cohorts and user journeys. Journeys (formerly Pathfinder) shows actual paths between events — not assumed funnels but real routes. Session Replay records sessions for UX analysis. The free tier up to 10M events/month is enough for most products at launch.

Mixpanel — close to Amplitude, stronger in real-time segmentation. Insights, Funnels, Retention cover 90% of product analysts' tasks.

How to Solve Multi-Channel Attribution with AppsFlyer?

Knowing where a user came from is a separate task. Firebase Attribution works only within the Google ecosystem. For multi-channel attribution (Facebook Ads, TikTok, Apple Search Ads, programmatic), an MMP (Mobile Measurement Partner) is needed.

AppsFlyer is the market leader. OneLink — universal deep link working on iOS and Android, correctly attributing installs from any channel. Protect360 — built-in fraud protection (fake installs, click injection on Android). Adjust and Branch are competitors with similar features. Branch excels in deep linking; Adjust is popular in gaming.

According to Apple, with iOS 14.5, apps must obtain user permission via ATT before collecting IDFA for tracking. AppsFlyer uses probabilistic matching (IP + user agent + timing) for these users — accuracy is lower but better than nothing. SKAdNetwork and Privacy Preserving Attribution provide aggregated data from Apple with a 24-72 hour delay.

How to Set Up Crash Analytics to Not Miss Bugs?

Firebase Crashlytics is the standard for crash reporting. It automatically groups crashes by stack trace, shows affected users %, and sends velocity alerts when crash rate increases by more than 10% per hour.

Important: symbolication. On iOS, .dSYM files must be automatically uploaded with each build — via Fastlane upload_symbols_to_crashlytics or Xcode Cloud built-in. Without symbols, crashes in Crashlytics appear as memory addresses. This happens more often than expected when switching to a new CI — in one project with 500k users, we found that 40% of crashes remained unsymbolicated due to a missing CI/CD step. After automation, bug response time dropped from 3 hours to 15 minutes.

For React Native and Flutter, @sentry/react-native and sentry_flutter provide additional context: breadcrumbs, network requests before the crash, Redux/Provider state.

Below is a comparison of popular crash analytics tools to choose according to your needs.

Criteria Firebase Crashlytics Sentry Instabug
Free limit Unlimited (Spark) 5k events/month 250 MAU
Grouping By stack trace + parameters By fingerprint By stack trace + metadata
Symbolication Automatic (via file) Automatic (via CLI) Automatic
Velocity alerts Yes (by % change) Yes (by count) Yes (by threshold)
Extra context Logs, Keys, Custom Keys Breadcrumbs, User, Tags User steps, network requests
Price Free (in Firebase) Paid plans available Paid plans available

Environment Setup

Three environments with separate Firebase projects: dev, staging, production. Mixing analytics from test sessions and production is a common mistake that skews all metrics. On iOS via GoogleService-Info.plist per scheme, on Android via google-services.json in each flavor folder.

Timelines: basic analytics with Firebase + Crashlytics — 3-5 days. Full tracking plan + Amplitude/Mixpanel with funnels and cohorts — 2-3 weeks. Attribution via AppsFlyer with deep linking and fraud protection — 1-2 weeks. Cost is calculated individually based on integration complexity.

What Is Included in Our Work

As part of analytics implementation, we provide:

  • Development and approval of a tracking plan with product and marketing teams.
  • SDK integration (Firebase, Amplitude, Mixpanel, AppsFlyer) considering your stack (Swift/Kotlin/Flutter/React Native).
  • Setup of funnels, cohorts, dashboards, and alerts.
  • Automation of symbolication and .dSYM upload via Fastlane.
  • Documentation of events and parameters.
  • Team training on the analytics platform.
  • Two weeks of post-release support and tracking adjustments.

Our experience: 7 years of analytics implementation and over 80 successful projects in mobile development. We guarantee data correctness and transparency at every stage.

Contact us for a consultation on setting up analytics for your app. Request an audit of your current analytics — and we will show you which metrics you are losing.