Spotify’s Running Mode: How Music, Tempo and AI Aim to Pace Your Next Run

Table of Contents

1. Key Highlights
2. Introduction
3. How Running Mode builds a run-ready playlist
4. What Running Mode borrows from the past—and what it changes
5. Why tempo matters: cadence, BPM and performance
6. Practical guidelines for choosing BPM in Running Mode
7. What Running Mode gets right for everyday runners
8. Shortcomings and limitations to be aware of
9. Running Mode compared with other music and training solutions
10. Integration prospects: wearables, pace tracking and real-time pacing
11. Privacy, personalization and transparency concerns
12. How coaches and serious runners can use Running Mode for training
13. Examples of BPM choices for common workouts
14. Real-world scenarios: how runners might use Running Mode
15. The business strategy behind Running Mode
16. Technical and UX expectations at launch
17. Troubleshooting and user tips
18. What Spotify could add next
19. Accessibility and inclusivity considerations
20. The ethics of algorithmic curation in fitness contexts
21. Potential impacts on the music ecosystem and artists
22. How Running Mode may affect other fitness content on Spotify
23. Final observations on using Running Mode now
24. FAQ

Key Highlights

• Spotify’s new Running Mode builds tempo-matched playlists from 25 curated presets by asking for workout type, duration, tempo (BPM) and genre, then using AI to assemble a playlist that fits the requested pace.
• The feature launches on iOS for Premium subscribers in select countries, includes spoken audio cues, and marks a wider push into fitness content following Spotify’s Peloton-class additions.
• Running Mode differs from Spotify’s earlier pace-detection tool by relying on user-provided tempo instead of real-time cadence measurement; that design choice has practical advantages and clear limitations for training and real-world use.

Introduction

Music and running have a long, practical relationship: the right track can steady cadence, lift mood and push effort through fatigue. Spotify is re-entering that territory with Running Mode, a feature that promises to tailor playlists to the speed you want to run at. The company asks a handful of questions—workout type, duration, beats per minute and genre—then uses algorithmic tools to assemble a playlist that matches the requested tempo and length. Running Mode arrives as part of Spotify’s expanding fitness strategy and revives a concept the company experimented with earlier, but this time with AI curation and a different approach to pacing.

This article explains exactly how Running Mode works, how it compares with past and competing options, what science says about music tempo and running performance, how runners should set BPM and workout types for real training goals, and what to expect next from Spotify. Practical tips for using Running Mode and guidance on privacy, device compatibility and limitations round out the analysis.

How Running Mode builds a run-ready playlist

Spotify designed Running Mode as an interactive playlist generator. When you open the feature—located inside the Fitness Hub on the iOS Spotify app—it prompts you to define the parameters of your session. The process follows a short sequence:

• Choose a workout profile: interval, steady or pyramid. Each selection changes how tempo and song transitions will be arranged.
• Enter the run duration so the playlist will cover the entire session without abrupt endings.
• Select the target tempo in beats per minute (BPM). This tells the system how quickly songs should move to match your intended cadence.
• Pick a genre or music style to personalize the vibe of the playlist.

Spotify reports 25 curated presets that guide how the AI assembles playlists. After you submit those inputs, the service applies AI-powered selection tools to identify songs with the right tempo and to sequence them so the mix lasts the requested time. Running Mode will also add spoken audio cues designed to mimic a supportive running companion—brief prompts that can encourage a change of pace or offer motivational nudges during interval segments.

At launch the feature is exclusive to iOS and available to Premium subscribers in Australia, Canada, Ireland, New Zealand, Sweden, the UK and the US. Spotify has described Running Mode as “the next step” in its fitness expansion, suggesting further features and deeper fitness integrations are likely to follow.

What Running Mode borrows from the past—and what it changes

Spotify previously offered a feature called Running (2015–2018) that attempted to match songs to your actual running tempo by monitoring device motion. That version captured real-time cadence and adjusted playlists accordingly. Running Mode differs in its central design: it asks for your intended tempo and workout type, then constructs a playlist to match that input rather than measuring how fast you are actually moving.

That shift has several consequences:

• Predictability: Providing a target BPM lets you plan a workout that aligns with a training goal—an advantage for tempo runs or cadence drills.
• Operational simplicity: Not relying on continuous sensor input reduces battery drain and avoids problems when smartphone motion sensors or wearable data are unavailable.
• Limited real-time responsiveness: If you slow down or speed up mid-run, the playlist will not automatically retarget your cadence. The audio cues can nudge you, but the music remains fixed to the initial tempo unless you manually change it.
• Accessibility: Users who do not want location or motion tracking may prefer a system that requires only manual inputs.

The previous Running feature offered an automatic, adaptive experience. Running Mode returns to manual input but leverages AI for song selection and sequencing, creating playlists designed to follow structured workouts like intervals or pyramids.

Why tempo matters: cadence, BPM and performance

Runners and coaches use the term cadence to describe steps per minute (SPM). Music tempo is measured in beats per minute (BPM). Matching music BPM to cadence provides an external rhythmic cue that can stabilize stride, make pacing feel easier and potentially reduce injury risk by encouraging an efficient turn-over.

Practical correlations runners use:

• If you step on every beat, steps per minute roughly equal BPM.
• If you step on every other beat, cadence will be roughly half the BPM.
• Many coaching targets for cadence lie in a band roughly between 170 and 190 SPM for experienced runners, with recreational runners often falling lower.

Selecting a BPM that intentionally nudges cadence upward can help shift a runner’s natural turnover into a more efficient range. Tempo selections for different goals:

• Recovery or easy runs: choose a low BPM that matches a relaxed cadence.
• Tempo runs and lactate threshold work: prefer a BPM that keeps cadence consistent while pushing intensity.
• Interval training: use Running Mode’s interval preset and pick BPMs that alternate between recovery and high-effort targets.

Music also affects perceived exertion. Upbeat tempos and predictable rhythmic structures reduce the subjective difficulty of sustained efforts. That psychological effect can be as valuable as the mechanical rhythm cues in helping an athlete maintain pace during tough segments.

Practical guidelines for choosing BPM in Running Mode

Choosing the right BPM depends on what you want the music to cue and how you naturally move. Use these actionable steps:

1. Measure your baseline cadence.
   • Count steps for 30 seconds while running at a comfortable pace and double the number to get SPM.
   • Use a smartwatch or phone app that reports cadence for quicker measurements.
2. Decide whether you want music to match every step or every other step.
   • Match every step to a beat: set BPM equal to your SPM.
   • Match every other step: set BPM to double your SPM (for example, 160 SPM could use 80 BPM if stepping on every other beat).
3. Choose a training target.
   • To increase cadence by about 5–10 SPM, select a music BPM that is 5–10 higher than your current cadence and run to that beat for short segments before returning to baseline.
   • For steady tempo work, pick a BPM that you can maintain comfortably for the planned duration; consistent beats help with pacing.
4. Use Running Mode’s presets strategically.
   • Interval preset: pick recovery and work BPM settings (if the interface allows) or choose a target BPM that represents the high-effort portion and lean on audio cues for transitions.
   • Pyramid preset: set BPMs that gradually escalate and then descend to simulate a ladder of intensity.
   • Steady preset: pick a BPM that aligns with target race pace cadence.
5. Adjust for song structure.
   • Some songs have complex rhythmic patterns. If a track’s perceived beat feels double or half the true BPM, test it briefly before committing to longer workouts.

These guidelines ensure Running Mode’s tempo-based approach aligns with specific training goals. Trial and error will help users learn which BPMs produce the best cadence improvements and comfort for different workout types.

What Running Mode gets right for everyday runners

Running Mode’s design fits several practical use cases:

• Structured sessions without wearables: Many casual runners prefer simplicity. By asking for duration and tempo up front, Running Mode produces a finished playlist without requiring wearables or motion sensors.
• Motivation and variety: The AI-curated playlist aims to avoid repetitive loops and maintain appropriate energy for the requested session.
• Coaching-style prompts: Spoken audio cues can help when you want audible reminders to change pace or stay on target during intervals.
• Integration with Spotify’s catalog: Runners who already use Spotify gain access to vast music libraries and can select preferred genres during setup.

Those strengths make Running Mode an attractive option for runners who want music-driven structure without the complexity of integrating multiple devices or training platforms.

Shortcomings and limitations to be aware of

The feature’s manual approach introduces trade-offs:

• No real-time adaptation: If your actual speed deviates from the chosen tempo, the playlist won’t adapt automatically. That reduces the utility for workouts where pace fluctuates unpredictably.
• Dependence on user input: Novice runners may misestimate ideal BPMs, producing playlists that feel too fast or too slow.
• Premium and platform restrictions: Running Mode is restricted to Premium subscribers and iOS at launch. That limits access for Android users and those on free Spotify tiers.
• Unclear personalization signals: Spotify has not confirmed whether Running Mode uses an individual’s listening history to influence song choice. Playlists may lean on general popularity and tempo metadata rather than deep personalization.
• Potential mismatch between BPM metadata and perceived beat: Some tracks’ annotated BPM may not align with how runners perceive the beat while running, causing cadence drift.

These limitations matter depending on how precisely a runner wants music to mediate their training.

Running Mode compared with other music and training solutions

A number of services and devices offer music-paced running experiences, each with different philosophies.

• Old Spotify Running (2015–2018): Detected actual cadence via device sensors and adapted playlists in near real time. That approach was adaptive but sometimes fragile due to sensor variability.
• RockMyRun / FitRadio: These apps have long emphasized BPM-matched mixes with DJ-style transitions and tempo controls. They often target fitness users seeking continuous dance-style mixes.
• Nike Run Club / Strava / Runkeeper: These apps focus on run tracking, coaching and community features; some integrate with music but don’t directly curate tempo-matched playlists in the same way.
• Apple Music + Apple Fitness+: Apple’s ecosystem leans on integration with the Apple Watch and Fitness+ workouts; music is curated for sessions but is tightly coupled with Apple’s hardware and subscription services.
• Peloton: Peloton’s music selection on its own hardware and classes is designed to match class cadence and effort. Spotify has integrated Peloton classes into its catalog, a separate but complementary move to Running Mode.

Running Mode sits between DJ-style BPM apps and adaptive cadence detection systems. It emphasizes curated AI selection and structured session presets rather than continuous motion-driven adaptation.

Integration prospects: wearables, pace tracking and real-time pacing

The most obvious future enhancement for Running Mode would be real-time pace integration with wearables. That would restore the adaptive strength of the original Running feature while preserving the AI-curated selection.

Potential integrations that would add value:

• Apple Watch: Real-time cadence data could let Running Mode adjust playlists mid-run, selecting songs with slightly higher or lower BPM to nudge cadence.
• GPS watches and fitness trackers (Garmin, Coros): Connecting directly to running watches would allow data-driven pacing and more precise interval transitions.
• Smartphone sensor fusion: Combining accelerometer and GPS data with user inputs could offer a middle ground for users who don’t wear dedicated devices.

Spotify has not announced such integrations at launch. Running Mode’s “next step” language suggests the company understands the value of deeper device connections and might pursue them.

Privacy, personalization and transparency concerns

When a service blends music preferences, workout data and AI curation, users expect clarity about what data is used and how.

Points to consider:

• Listening history: Spotify’s past features and personalization systems typically rely on listening patterns and saved libraries. The company has not confirmed whether Running Mode factors in a user’s past likes when selecting tracks.
• Motion/location data: Running Mode asks users for tempo rather than collecting motion. That reduces the need to transmit continuous sensor data, improving privacy but also limiting real-time personalization.
• Data sharing with partners: Spotify’s partnership with Peloton and other content providers raises questions about whether usage metrics from Running Mode will be shared with third parties or used to inform recommendations elsewhere on the platform.
• Legal framework: Users in regions with GDPR or similar privacy laws retain certain rights around data access and deletion. Premium users should review Spotify’s privacy settings and the Fitness Hub permissions.

Transparency matters if Spotify intends to extend Running Mode into more tightly integrated fitness features. Clear documentation about what is collected and how it informs playlists will improve trust.

How coaches and serious runners can use Running Mode for training

Running Mode is not a full replacement for coaching software or data-driven training platforms, but it can complement structured plans.

Use cases for coaches and athletes:

• Cadence drills: Set short intervals at a higher BPM to deliberately raise turnover, then return to baseline recovery BPM for rest segments.
• Tempo runs: Use the steady preset with a BPM corresponding to target race cadence to train consistency over threshold efforts.
• Race-simulation workouts: Create pyramids that ramp intensity to mimic rolling terrain or race surges.
• Group workouts: Coaches can share recommended BPMs with athletes; if everyone uses Running Mode settings, group interval sessions become more rhythmically synchronized.

Limitations for serious athletes:

• No automatic pace verification against GPS or power data.
• Difficulty in precisely timing splits for sessions that require exact repetition lengths unless the app’s cues are precise.
• Lack of integration with structured training logs unless paired with a third-party tracking app.

Still, Running Mode’s strength lies in easy-to-create tempo environments. Coaches willing to adapt can blend it with other tools to deliver rhythmic training sessions.

Examples of BPM choices for common workouts

These sample BPM ranges show how runners might select tempos for different sessions. Use them as starting points and modify after testing.

• Recovery/easy run: 120–140 BPM (relaxed cadence; good for active recovery and aerobic base-building)
• Endurance/long run: 140–160 BPM (sustained, comfortable rhythm for prolonged efforts)
• Tempo/lactate-threshold: 160–175 BPM (steady-hard effort; maintainable pace targeting improved threshold)
• Interval/hard reps: 175–190+ BPM (short, high-intensity work; use shorter durations and longer recovery)
• Cadence drills: baseline cadence + 5–10 BPM for 30–60 second segments to encourage turnover changes

Remember: BPM values correlate to SPM when stepping on every beat. If you prefer stepping on alternating beats, adjust accordingly.

Real-world scenarios: how runners might use Running Mode

Scenario 1 — Recreational runner prepping for a 10K: Kim, training for a 10K, wants steadier pacing during tempo runs. She measures her baseline cadence at 158 SPM. For tempo sessions she sets Running Mode to steady at 165 BPM and a 30-minute duration. The playlist maintains a consistent pulse that helps Kim hold an even turnover through the middle portion of the workout.

Scenario 2 — New runner practicing intervals: Alex runs intervals twice a week to build speed. He picks the interval preset, sets total duration to 40 minutes, and chooses alternating high-effort BPM of 180 with recovery sections around 140 BPM. Spoken cues help Alex switch between the hard and easy blocks and keep his efforts disciplined.

Scenario 3 — Group club session: A running club plans synchronized interval work. The coach recommends everyone use Running Mode with a shared BPM scheme for the session so the group’s external cues align. Members without watches enjoy the structure and report fewer pacing mistakes.

These plausible scenarios demonstrate how Running Mode’s straightforward interface can support a range of training needs.

The business strategy behind Running Mode

Running Mode follows Spotify’s broader fitness moves. Earlier in the year, Spotify added more than 1,400 Peloton classes to its platform, positioning music and workout content under the same roof. Adding tempo-matched playlists extends Spotify’s utility beyond passive listening into active, goal-directed usage.

Likely strategic drivers:

• Engagement and retention: Fitness-focused features encourage daily or multiple-times-weekly use, strengthening habit formation and reducing churn among subscribers.
• Upselling Premium: Restricting Running Mode to Premium users incentivizes free-tier users who want the feature to upgrade.
• Partnership leverage: Integrating third-party fitness content, like Peloton classes, creates cross-promotional opportunities and broadens appeal to fitness-minded users.
• Competitive differentiation: Spotify’s music library and recommendation engine create an advantage over fitness-only apps that lack large catalogs or sophisticated curation.

Running Mode may serve as both a product experiment and a platform play to deepen Spotify’s role in users’ fitness routines.

Technical and UX expectations at launch

At launch Running Mode delivers a minimal set of features designed to be usable rather than exhaustive. Expect the following from the initial rollout:

• Simple setup screens that guide users through preset selection, duration and BPM choices.
• A curated pool of 25 presets that reflect typical workout templates, rather than fully customizable block programming.
• Spoken audio cues for timing and encouragement.
• Playlist generation that uses track metadata (tempo/BPM) to match the requested pace; personalization signals may be limited or opaque initially.
• Staggered availability across territories and iOS-only access at first, with Android and broader release possibilities later.

Users should treat Running Mode as a functional tool for music-driven workouts that will likely evolve with user feedback and deeper integrations.

Troubleshooting and user tips

If Running Mode doesn’t behave as expected, try these practical fixes and adjustments:

• Playlist feels too fast or slow: Re-measure cadence and adjust BPM accordingly. Test with a short run before a longer session.
• Songs don’t match perceived beat: Preview a sample playlist and skip tracks whose downbeats feel inconsistent; for persistent mismatch, lower or raise BPM slightly.
• Audio cues are missed: Increase cue volume relative to music in your device audio settings or choose a genre where vocals allow cues to cut through more clearly.
• Playlist ends early: Confirm the requested duration before generation; offline downloads of playlists may fail if storage is low or if network interruptions occur during generation.
• Running Mode not appearing: Ensure the app is updated, you’re on iOS, and you’re in one of the supported countries. Rollouts may be staggered, so the feature might take time to reach all accounts.

Following these steps will help most users get the intended experience quickly.

What Spotify could add next

Possible enhancements that would materially improve the feature:

• Real-time pace detection and adaptive track selection that increases or decreases tempo as cadence changes.
• Wearable integrations (Apple Watch, Garmin) for live telemetry and precise interval timing.
• Multi-BPM programming inside presets where the app allows explicit recovery and work BPM entries.
• Improved transparency about personalization signals and whether listening history influences song selection.
• Android availability and free-tier trials to broaden adoption.
• More locale-specific track choices to reflect regional music preferences within genre selection.
• Community and sharing features so users or coaches can publish preset templates and BPM plans.

Those additions would push Running Mode from a lightweight tempo-matching tool to a robust training companion.

Accessibility and inclusivity considerations

A music-driven training feature should account for diverse user needs:

• Hearing-impaired runners: Running Mode’s reliance on spoken cues reduces accessibility for some users. Providing visual cues or haptic signals via paired devices would improve inclusion.
• Musical preference variety: Ensure genre options include non-Western music and a wide range of tempos to suit global tastes.
• Motor disabilities: Provide options to configure beat emphasis, slower BPM transitions and longer cue buffers to accommodate different mobility profiles.

Thoughtful accessibility improvements would broaden Running Mode’s reach and ensure the feature serves more users effectively.

The ethics of algorithmic curation in fitness contexts

Applying algorithms to workout experiences introduces ethical questions. Music can shape behavior and exert influence during vulnerable moments—fatigue, stress or pain. Platforms must avoid manipulative nudges that push users to unsafe effort levels.

Ethical guardrails Spotify should consider:

• Safety heuristics that prevent tempo selection that would push novices into extreme cadence shifts without warning.
• Clear labeling of AI-generated content and disclosure about whether personal listening data was used.
• Easy opt-out routes for users uncomfortable with algorithmic recommendations.

Transparency and conservative defaults will improve user trust as these systems become more capable.

Potential impacts on the music ecosystem and artists

Algorithmic playlisting in fitness contexts benefits both listeners and artists in some ways while carrying trade-offs:

• Exposure for tempo-friendly tracks: Songs that fit common BPM ranges may receive more plays as workout playlists grow in popularity.
• Repeatable revenue for artists: Playlists that become go-to workout mixes can drive sustained streams.
• Homogenization risk: If fitness playlists favor a narrow set of tempos or popular artists, less mainstream music may be underrepresented.
• Metadata accuracy: Correct BPM tagging becomes more valuable for artists and labels. Inaccurate metadata can misroute songs to inappropriate contexts.

Spotify’s curation choices will shape which kinds of music find favor in the fitness market over time.

How Running Mode may affect other fitness content on Spotify

Spotify’s addition of Peloton classes and now Running Mode signals a broader strategy where music and workout content coexist on a single platform. Combining classes and tempo-based playlists creates cross-usage opportunities: users might stream a Peloton class for guided structure and use Running Mode for solo outdoor sessions. That ecosystem approach could increase time spent in the Spotify app and give users more reasons to maintain subscriptions.

The platform might eventually bundle curated classes, personalized run playlists and coaching cues into subscription tiers tailored for fitness users. That would raise competition with specialized fitness services and streamline users’ music-plus-workout experience.

Final observations on using Running Mode now

Running Mode revives Spotify’s interest in tempo-matched running experiences while choosing a different operational model. The feature’s simplicity and AI-driven playlist construction make it a useful tool for runners who want musical structure without extra devices or complex setups. Limitations—chiefly the absence of real-time pace adaptation and initial platform restrictions—mean the feature is most valuable for casual and recreational runners today. For serious athletes seeking data-rich training, Running Mode is a supplemental tool rather than a replacement for dedicated coaching platforms.

Expect incremental improvements: better personalization, wearable integrations and Android availability are plausible near-term changes. Given Spotify’s recent fitness investments, this approach is a strategic anchor for deeper offerings that blend curated content, personalized music experiences and fitness instruction.

FAQ

Q: Where can I find Running Mode within the Spotify app? A: Open the Spotify app on iOS and navigate to the Fitness Hub. Running Mode appears near the top of the Fitness Hub. Availability may be staggered, so update the app and check back if it doesn’t appear immediately.

Q: Is Running Mode free to use? A: Running Mode is available only to Spotify Premium subscribers at launch. Free-tier users do not currently have access.

Q: On which platforms and in which countries is Running Mode available? A: At launch Running Mode is exclusive to iOS and available for Premium subscribers in Australia, Canada, Ireland, New Zealand, Sweden, the UK and the US. Wider availability may follow over time.

Q: Does Running Mode adapt to my real-time running pace? A: No. Running Mode asks you to enter a target tempo (BPM) rather than automatically tracking cadence during the run. The playlist is built to match the chosen tempo and duration; it does not adjust dynamically if you change speed mid-run.

Q: Does Spotify use my listening history to personalize Running Mode playlists? A: Spotify has not publicly confirmed whether Running Mode uses individual listening history to influence song selection. Playlists are assembled using tempo metadata and curated presets; it’s possible personalization is limited or absent in the initial release.

Q: How do I pick the right BPM for my workout? A: Measure your baseline cadence (steps per minute). If you want music to match each foot strike, set BPM equal to your cadence. For many training goals, choose a BPM that nudges cadence upward by 5–10 SPM for short intervals or matches race-target cadence for tempo runs. Preview playlists and adjust BPM after trial runs to fine-tune the feel.

Q: Can I use Running Mode with a smartwatch or Garmin? A: Running Mode does not currently integrate directly with wearables for real-time cadence input. You can use a smartwatch alongside Running Mode for data tracking, but the playlist will not change based on wearable telemetry.

Q: What workout types does Running Mode support? A: The feature includes presets for interval, steady and pyramid workouts. These presets change the playlist’s sequencing to reflect expected intensity patterns.

Q: Are the playlists downloadable for offline use? A: Spotify allows playlist downloads for offline listening with Premium. Generated Running Mode playlists should be downloadable if you want offline access, subject to your device storage and the app’s cache behavior.

Q: Will Running Mode come to Android and non-Premium users? A: Spotify has not published a timeline for Android rollout or expansion to free-tier users. Given how Spotify typically phases new features, broader availability is possible in future updates.

Q: Are there any privacy concerns with Running Mode? A: Running Mode reduces the need for continuous motion or location tracking since it requests tempo inputs rather than measuring movement. However, users should review Spotify’s privacy settings and terms, especially if future updates add wearable or motion integrations that could transmit workout telemetry.

Q: How does Running Mode differ from the old Spotify Running feature? A: The former Spotify Running feature detected your actual running tempo using device sensors and dynamically adjusted playlists. Running Mode requires manual tempo input and constructs playlists to match that user-provided BPM. The two approaches trade off real-time adaptation for user-directed planning.

Q: Can coaches share preset workouts or BPM plans? A: The launch version of Running Mode focuses on individual playlist generation. There’s no announced public sharing mechanism for coach-created presets, but coaches can still recommend BPMs and session structures for athletes to enter manually.

Q: Will Running Mode support languages other than English for audio cues? A: Spotify has not detailed the full localization plan. Expect audio cues to be localized over time, particularly for major markets, but availability may vary by region.

Q: How should runners with lower or higher natural cadence approach BPM selection? A: Stick close to your measured baseline when starting. Use BPM increases of about 5–10 SPM for short practice segments rather than wholesale shifts that could lead to inefficient mechanics. High-cadence runners can use BPMs above 170 to maintain turnover during faster sessions.

Q: How might Running Mode affect artists and music discovery? A: Tracks with appropriate BPM metadata may receive increased exposure through workout playlists. That can benefit artists whose music fits common tempo ranges, though playlist curation biases might favor certain styles or popular tracks.

Q: Is there a cost-effective alternative if I don’t have Premium or iOS? A: Several third-party apps and services offer tempo-matched playlists or tempo control (e.g., specialized fitness music apps). Alternatively, runners can search Spotify’s existing BPM-labeled playlists manually or use tempo-sorting features in desktop tools if available.

Q: Where can I provide feedback to Spotify about Running Mode? A: Use the Spotify app’s feedback mechanisms or community boards. Given Spotify’s iterative approach, user feedback can shape future enhancements, including device integrations and feature expansions.