Logging na basic analytics
Day 19 of 30 · AI Jeneretivu 2026: Jenga App na Agent za AI
One-liner: Rekodi matukio muhimu ili uone matumizi na makosa mapema.
Time: 20 hadi 30 dakika
Deliverable: Mpango wa Logging na Vipimo vya Msingi
Learning goal
You will be able to: Kuchagua events muhimu za ku-log na vipimo vya msingi vya bidhaa.
Success criteria (observable)
- Events 5 muhimu zimeainishwa.
- Kila event ina purpose na mfano.
- Vipimo 2 vya msingi vimeandikwa.
Output you will produce
- Deliverable: Mpango wa Logging na Vipimo vya Msingi
- Format: Jedwali la events na vipimo
- Where saved: Kwenye folda ya kozi ndani ya
/generative-ai-2026-build-ai-apps-and-agents-sw/
Who
Primary persona: Digital nomad anayepima afya ya bidhaa Secondary persona(s): Timu inayotegemea data Stakeholders (optional): Washirika wa ujenzi
What
What it is
Orodha ya events muhimu unazorekodi ili uone matumizi na makosa. Vipimo vya msingi vinavyoonyesha kama bidhaa inafanya kazi.
What it is not
Si mfumo mkubwa wa analytics. Si logging ya kila kitu bila mpangilio.
2-minute theory
- Logging inakupa mwanga wa matumizi ya kweli.
- Vipimo vya msingi vinaonyesha kama bidhaa inasimama.
- Logging ndogo, sahihi, ni bora kuliko nyingi zisizo muhimu.
Key terms
- Event: Kitendo kinachorekodiwa kwenye mfumo.
- Metric: Kipimo kinachoonyesha afya ya bidhaa.
Where
Applies in
- Backend events
- Product usage
Does not apply in
- Demos za ndani bila data ya kweli
Touchpoints
- Event logs
- Analytics dashboard
- Alerts
When
Use it when
- Unataka kufuatilia matumizi
- Unahitaji kupima afya ya bidhaa
Frequency
Kila release mpya ya feature
Late signals
- Hujui ni wapi watumiaji wanaacha
- Hujui wapi errors hutokea
Why it matters
Practical benefits
- Uamuzi bora wa bidhaa
- Debugging ya haraka
- Uelewa wa matumizi ya wateja
Risks of ignoring
- Maamuzi bila data
- Makosa yasiyoonekana mapema
Expectations
- Improves: uelewa wa matumizi na uthabiti
- Does not guarantee: growth ya moja kwa moja
How
Step-by-step method
- Chagua events 5 muhimu zaidi.
- Andika purpose ya kila event.
- Ongeza mfano wa wakati event itatokea.
- Chagua vipimo 2 vya msingi.
- Weka alerts kwa spikes za errors.
Do and don't
Do
- Rekodi events zinazoathiri bidhaa
- Weka majina ya event yaliyo wazi
Don't
- Ku-log kila kitu bila mpangilio
- Kuacha data bila maana
Common mistakes and fixes
- Mistake: Events nyingi zisizo muhimu. Fix: Punguza hadi muhimu.
- Mistake: Hakuna metric ya msingi. Fix: Chagua metrics mbili rahisi.
Done when
- Events 5 zimeandikwa na kusudi.
- Metrics mbili zimeainishwa.
- Alerts zimewekwa.
Guided exercise (10 to 15 min)
Inputs
- Orodha ya features
- Matukio muhimu
Steps
- Chagua events 5.
- Andika purpose na mfano.
- Chagua metrics 2.
Output format
| Field | Value |
|---|---|
| Event | |
| Purpose | |
| Example | |
| Metric |
Pro tip: Rekodi event ya “request failed” kwa ufuatiliaji wa errors.
Independent exercise (5 to 10 min)
Task
Punguza events hadi 3 ikiwa ni lazima na ueleze kwanini.
Output
Orodha mpya ya events na maelezo.
Self-check (yes/no)
- Je, events muhimu zimeainishwa?
- Je, metrics za msingi zimeandikwa?
- Je, mfano wa kila event upo?
- Je, alerts zimewekwa?
Baseline metric (recommended)
- Score: Events 4 kati ya 5 zimekamilika
- Date: 2026-02-07
- Tool used: Notes app
Bibliography (sources used)
Product Analytics Basics. Amplitude. 2024-01-01. Read: https://amplitude.com/blog/product-analytics
Logging Best Practices. Google. 2024-01-01. Read: https://cloud.google.com/logging/docs
Read more (optional)
- Event Design Guide Why: Kubuni event zinazopimika. Read: https://amplitude.com/blog